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<div class=WordSection1>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='text-align:center'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='text-align:center'><span lang=EN-US
style='font-size:24.0pt;mso-ansi-language:EN-US'>Digital Image Correlation<o:p></o:p></span></p>
<p class=MsoNormal align=center style='text-align:center'><span lang=EN-US
style='font-size:24.0pt;mso-ansi-language:EN-US'>and Tracking with Matlab<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='text-align:center'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='text-align:center'><span lang=EN-US
style='mso-ansi-language:EN-US'>Programmed by:<o:p></o:p></span></p>
<p class=MsoNormal align=center style='text-align:center'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='text-align:center'><span lang=EN-US
style='mso-ansi-language:EN-US'>Chris Eberl, Robert Thompson, Daniel Gianola,
Sven Bundschuh<o:p></o:p></span></p>
<p class=MsoNormal align=center style='text-align:center'><span lang=EN-US
style='mso-ansi-language:EN-US'>@ Karlsruhe Institute of Technology, Germany,
Group of Chris Eberl<o:p></o:p></span></p>
<p class=MsoNormal align=center style='text-align:center'><span lang=EN-US
style='mso-ansi-language:EN-US'>@ Johns Hopkins University, USA, Group of Kevin
J. Hemker<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='text-align:center'><span lang=EN-US
style='mso-ansi-language:EN-US'>chris.eberl@kit.edu or chris.eberl@jhu.edu<o:p></o:p></span></p>
<span lang=EN-US style='font-size:12.0pt;font-family:"Times New Roman","serif";
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:
DE;mso-bidi-language:AR-SA'><br clear=all style='page-break-before:always'>
</span>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='font-size:18.0pt;mso-ansi-language:EN-US'>1. Introduction<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Measuring strain in samples which are too
small, big, compliant, soft or hot are typical scenarios where non-contact
techniques are needed. A technique which can cover all that and also can deal
with complicated strain fields in structures or structural materials is the
Digital Image Correlation. With this technique, strain can be calculated from a
series of consecutive images with sub pixel resolution as will be shown in the
following chapters. <o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Even though there are tons of codes from the
image registration, artificial intelligence or the robotics community, none of
them can easily be used by the strain measuring community. Commercial code is
available also and has the advantage of getting a guaranty that it works, is nicely
designed and has well thought through user interfaces and typically a higher
processing speed. The disadvantages are, that commercial software typically has
to be paid in k$, is available only as package with hardware, enjoys a
notorious lack of programming interfaces or tools to change the code to fit it
into a test setup as well as the probability of inaccessible data in case the
software license is not valid anymore or it does not run on the new and fancy
computer anymore. <o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Out of all these reasons this code was started together
with Rob Thompson and Dan Gianola during my stay in the group of Kevin J.
Hemker at the <st1:place w:st="on"><st1:PlaceName w:st="on">Johns</st1:PlaceName>
<st1:PlaceName w:st="on">Hopkins</st1:PlaceName> <st1:PlaceType w:st="on">University</st1:PlaceType></st1:place>
in <st1:place w:st="on"><st1:City w:st="on">Baltimore</st1:City>, <st1:State
w:st="on">MD</st1:State>, <st1:country-region w:st="on">USA</st1:country-region></st1:place>.
Considerable extensions and new code as well as all the multi core stuff was
added while Chris was heading a group (microreliability) at the KIT.<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>This code is not meant to be a direct competitor
to commercial code since we have not the time to make it as easy to use as
possible but as a different option with the advantages to be free, flexible
and scalable. Free in terms of free access even though we would like to ask
you to cite our code in case you use it and free again even though you need
to buy matlab together with some toolboxes. Since most research institutions
have access to this important tool I think we still can name it free.
Flexible in terms of the relative easy way you can enhance this matlab code
as a script language where you can add either other toolboxes or your own code
to flex it around your application. We would appreciate it if you as a user
could share your own code with all of us out here so we can learn from your
creativity. And scalable since you can easily start several sessions to
process your images on more than one processor (core) and the newest code
segments are already ready to use multicores and because you can also use
Graphic Processing Units (GPU = the graphics processor on a graphics card, http://dside.dyndns.org/dict
) or other add-on boards to enhance processing speed.<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>In case you are still reading, we would like to
wish you fun using this code and hope we were able to provide you with a useful
tool to help your with your experiments. <o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Cheers, Chris. <o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Karlsruhe, August 2010.<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<span lang=EN-US style='font-size:12.0pt;font-family:"Times New Roman","serif";
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:
DE;mso-bidi-language:AR-SA'><br clear=all style='page-break-before:always'>
</span>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='font-size:18.0pt;mso-ansi-language:EN-US'>2. Requirements and
Installation<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><u><span lang=EN-US style='mso-ansi-language:EN-US'>REQUIEREMENTS:<o:p></o:p></span></u></b></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>You will need <b style='mso-bidi-font-weight:
normal'>Matlab 7 (R14) or higher</b> (since the dlmwrite.m in Matlab 6.5 does
not work, at least for me and this is a really important function since it
stores the data after each calculation step). And you will need the following <b
style='mso-bidi-font-weight:normal'>TOOLBOXES</b>:<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l1 level1 lfo3;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><b style='mso-bidi-font-weight:normal'><span
lang=EN-US style='mso-ansi-language:EN-US'>Optimization</span></b><span
lang=EN-US style='mso-ansi-language:EN-US'> (all fitting processes depends on
this toolbox)<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l1 level1 lfo3;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><b style='mso-bidi-font-weight:normal'><span
lang=EN-US style='mso-ansi-language:EN-US'>Image processing</span></b><span
lang=EN-US style='mso-ansi-language:EN-US'> (obviously)<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l1 level1 lfo3;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='mso-ansi-language:EN-US'>Optional
the<b style='mso-bidi-font-weight:normal'> Parallel Computing Toolbox </b>(If
you want to use multicores)<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>You need to download the following .m files
from matlab central if you want a full field interpolated strain field
visualization:<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>surfit.m, polyfic.m and polyvac.m from
Vassili Pastushenko at the matlab central exchange into your matlab work folder<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><u><span lang=EN-US style='mso-ansi-language:EN-US'>INSTALLATION STEP
1:<o:p></o:p></span></u></b></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Copy the files from the zip file you just
downloaded from the mathworks server into the work folder in your matlab folder
(e.g. in windows: c:\matlab65\work or into your Matlab folder, in Windows it is
found in your Documents section):<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l2 level1 lfo2;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='mso-ansi-language:EN-US'>filelist_generator.m<span
style='mso-tab-count:1'> </span>(generates file name lists with max. 8
letters and .tif at <span style='mso-tab-count:3'> </span>the
end and creates a time_image list needed for <span style='mso-tab-count:4'> </span>merging
stress and strain)<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l2 level1 lfo2;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='mso-ansi-language:EN-US'>grid_generator.m<span
style='mso-tab-count:1'> </span>(generates grid rasters needed for the
correlation code)<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l2 level1 lfo2;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='mso-ansi-language:EN-US'>automate_image<span
style='mso-tab-count:1'> </span>(this function does all the hard
correlation work)<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l2 level1 lfo2;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='mso-ansi-language:EN-US'>peak_labelling.m<span
style='mso-tab-count:1'> </span>(this function is searching and tracking
peaks)<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l2 level1 lfo2;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='mso-ansi-language:EN-US'>pickpeak.m<span
style='mso-tab-count:2'> </span>(this function is tracking
manually chosen peaks)<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l2 level1 lfo2;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='mso-ansi-language:EN-US'>strain_lineprofile.m<span
style='mso-tab-count:1'> </span>(tracking two markers in a lineprofile)<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l2 level1 lfo2;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='mso-ansi-language:EN-US'>line_visuals.m<span
style='mso-tab-count:2'> </span>(needed for the
strain_lineprofile.m)<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l2 level1 lfo2;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='mso-ansi-language:EN-US'>sortvalidpoints.m<span
style='mso-tab-count:1'> </span>(this function finds the tracked peaks
and has to be <span style='mso-tab-count:4'> </span>called
after peak_labelling or pickpeak)<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l2 level1 lfo2;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='mso-ansi-language:EN-US'>gauss_onepk.m<span
style='mso-tab-count:1'> </span>(the gauss equation called by the
peaktracking functions)<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l2 level1 lfo2;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='mso-ansi-language:EN-US'>gauss_twopk.m<span
style='mso-tab-count:1'> </span>(same as gauss_onepk.m but with two
peaks
)<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l2 level1 lfo2;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='mso-ansi-language:EN-US'>displacement.m<span
style='mso-tab-count:1'> </span>(this function will help you analyzing
your data)<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l2 level1 lfo2;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='mso-ansi-language:EN-US'>linearfit.m<span
style='mso-tab-count:2'> </span>(contains the linear
equation)<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l2 level1 lfo2;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='mso-ansi-language:EN-US'>ppselection_func.m<span
style='mso-tab-count:1'> </span>(this function is needed by displacement.m)<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l2 level1 lfo2;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='mso-ansi-language:EN-US'>surfit.m<span
style='mso-tab-count:2'> </span><a name="OLE_LINK1">(used
for visualization from Vassili Pastushenko)</a><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l2 level1 lfo2;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='mso-ansi-language:EN-US'>polyfic.m<span
style='mso-tab-count:2'> </span>(used for visualization from
Vassili Pastushenko)<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l2 level1 lfo2;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='mso-ansi-language:EN-US'>polyvac.m<span
style='mso-tab-count:2'> </span>(used for visualization from
Vassili Pastushenko)<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<b style='mso-bidi-font-weight:normal'><u><span lang=EN-US style='font-size:
12.0pt;font-family:"Times New Roman","serif";mso-fareast-font-family:"Times New Roman";
mso-ansi-language:EN-US;mso-fareast-language:DE;mso-bidi-language:AR-SA'><br
clear=all style='page-break-before:always'>
</span></u></b>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><u><span lang=EN-US style='mso-ansi-language:EN-US'>INSTALLATION STEP
2:<o:p></o:p></span></u></b></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>In cpcorr.m (type open cpcorr at the matlab
prompt) you have to change <o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l2 level1 lfo2;tab-stops:list 18.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><b style='mso-bidi-font-weight:normal'><span
lang=EN-US style='mso-ansi-language:EN-US'>in line 77: <o:p></o:p></span></b></p>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><span lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></b></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>CORRSIZE = 5; <o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-tab-count:1'> </span>to:
<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>CORRSIZE = 15;<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify'><i
style='mso-bidi-font-style:normal'><span lang=EN-US style='mso-ansi-language:
EN-US'>(This changes the size of the selected parts of the image which will be
correlated from 10x10 pixels to 30x30. Change this to smaller values if you
experience slow computational speed or if you use low resolution images.
Remember that markers need more than double the space from its centre to the edge
of the image, otherwise they cannot be tracked.)<o:p></o:p></span></i></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l2 level1 lfo2;tab-stops:list 18.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><b style='mso-bidi-font-weight:normal'><span
lang=EN-US style='mso-ansi-language:EN-US'>in line 134 and 135:<o:p></o:p></span></b></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>input_fractional_offset =
xyinput(icp,:) - round(xyinput(icp,:));<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>base_fractional_offset =
xybase_in(icp,:) - round(xybase_in(icp,:));<span style='mso-spacerun:yes'>
</span><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-tab-count:1'> </span>to:<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>input_fractional_offset =
xyinput(icp,:) - round(xyinput(icp,:)*1000)/1000;<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>base_fractional_offset =
xybase_in(icp,:) - round(xybase_in(icp,:)*1000)/1000;<span
style='mso-spacerun:yes'> </span><o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify'><i
style='mso-bidi-font-style:normal'><span lang=EN-US style='mso-ansi-language:
EN-US'>(This is changing the resolution of the marker positions to 1/1000<sup>th</sup>
pixel. If you need higher resolution just increase these values)<o:p></o:p></span></i></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>In findpeak.m (which you will find in the
private functions section off the Image processing Toolbox folder). The easiest
way to get to it is to find it in cpcorr.m in line 115, right click it and go
to open selection. Sometimes you will need to change the property settings so
you can save it as a normal user. You can also start Matlab as an
administrator, change findpeak.m and log in as a user again:<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>- line 58 and 59 from:<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><span style='mso-spacerun:yes'> </span>x_offset
= round(10*x_offset)/10;<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><span style='mso-spacerun:yes'>
</span>y_offset = round(10*y_offset)/10;<span style='mso-spacerun:yes'>
</span><o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>to<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><span style='mso-spacerun:yes'>
</span>x_offset = round(1000*x_offset)/1000;<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><span style='mso-spacerun:yes'>
</span>y_offset = round(1000*y_offset)/1000;<span style='mso-spacerun:yes'>
</span><o:p></o:p></span></p>
<span lang=EN-US style='font-size:12.0pt;font-family:"Times New Roman","serif";
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:
DE;mso-bidi-language:AR-SA'><br clear=all style='page-break-before:always'>
</span>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='font-size:18.0pt;mso-ansi-language:EN-US'>3. Good things to know about
matlab:<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>The matlab help is extremely helpful and should
be the very first location you look in case of errors. If you never worked with
matlab but would like to check it out, the Getting Started is a good point to
start with. I started there in summer 2005. <o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><span lang=EN-US style='mso-ansi-language:EN-US'>TAB:<o:p></o:p></span></b></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Pressing the TAB key on your keyboard after you
started typing in a command at the command line of matlab will show you all
functions with the same first letters.<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><span lang=EN-US style='mso-ansi-language:EN-US'>Arrow up function:<o:p></o:p></span></b></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Pressing the Arrow Up key on your keyboard
after you started typing a command will show the <b style='mso-bidi-font-weight:
normal'>last </b>command you started with the same first letters.<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><span lang=EN-US style='mso-ansi-language:EN-US'>Current Folder:<o:p></o:p></span></b></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>The Current Folder of matlab is the folder on
your harddisk which is currently selected to process data in matlab (close to
the upper edge of the matlab window). Functions like automate_image.m require
certain files to be present in the Current Folder otherwise they will produce
an error (see description later on). Pressing the little button on the right
hand side with the three little dots on it will let you select another folder.
Another possibility is to use the command window (see matlab help) or you can
select the current directory if it is activated under View in that extra
window.<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><span lang=EN-US style='mso-ansi-language:EN-US'>Set semicolon:<o:p></o:p></span></b></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Set the semicolon after calling a function
(e.g. automate_image;), otherwise all data which you get back from a called
function will be plotted in the command window.<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><span lang=EN-US style='mso-ansi-language:EN-US'>Workspace:<o:p></o:p></span></b></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>The Workspace is the place where you can load
all your data into. Functions called by you will write their values into the
workspace and scripts will use the workspace all the time and leave a mess of
variables in there. If you do not know what is going on check out the Getting
Started paragraph in the matlab help. <o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><span lang=EN-US style='mso-ansi-language:EN-US'>How to load data?<o:p></o:p></span></b></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>If you have loaded data into the workspace
(either by choosing File </span><span lang=EN-US style='font-family:Wingdings;
mso-ascii-font-family:"Times New Roman";mso-hansi-font-family:"Times New Roman";
mso-ansi-language:EN-US;mso-char-type:symbol;mso-symbol-font-family:Wingdings'><span
style='mso-char-type:symbol;mso-symbol-font-family:Wingdings'>à</span></span><span
lang=EN-US style='mso-ansi-language:EN-US'> Open
and selected the data file
you wanted to load or using the command window e.g. by typing: load('filenamelist')
and filenamelist is present in the Current Directory) the data will appear in
the workspace window.<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><span lang=EN-US style='mso-ansi-language:EN-US'>How to saved data from
Workspace to the hard disk?<o:p></o:p></span></b></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>If you want to save data from the workspace to
the hard disk, right click on it and select Save Selection As
. It will save
the data with the matlab file fomat. This data is only accessible by matlab. If
you want to process the data also with other programs you should consider to
save the data as ASCII file. Therefore type in the matlab console window save('stress.txt','alltemp','-ASCII');
to save the variable alltemp as text file<span style='mso-spacerun:yes'>
</span>with the name stress.txt to the Current directory.<span
style='mso-spacerun:yes'> </span>If you want to open it with matlab or excel
you have to import the file. The delimiter is per default TAB but can also be
chosen to be comma or space (see matlab help).<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><span lang=EN-US style='mso-ansi-language:EN-US'>How to give data in
the workspace to the functions?<o:p></o:p></span></b></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>If you type displacement; into the command
window of matlab, the function will start and ask you for the needed files.
Instead you can load the data (e.g. validx.mat and validy.mat) into the
workspace and then give it to the displacement function by typing:
displacement(validx,validy);. If have not loaded validx.mat there will be an
error message. <o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><span lang=EN-US style='mso-ansi-language:EN-US'>How do I get the data
from the function into the workspace?<o:p></o:p></span></b></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>If you type [validx,validy]=displacement; the
variables validx and validy will be created after running displacement.m. If
you have manipulated validx and validy (e.g. if you cleaned up the data set
from miss-tracked markers) you should save them.<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><span lang=EN-US style='mso-ansi-language:EN-US'>Why are all
images<span style='mso-spacerun:yes'> </span>opened in matlab mirrored to the horizontal
center axis of the image?</span></b><span lang=EN-US style='mso-ansi-language:
EN-US'><o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Matlab reads in images like a diagram.
Therefore pixel (1,1) is in the lower left while image processing software
starts at the upper left corner. <o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><span lang=EN-US style='mso-ansi-language:EN-US'>How o stop a function
in matlab?</span></b><span lang=EN-US style='mso-ansi-language:EN-US'><o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>To stop a function press the control key
(Crtl) together with c.<o:p></o:p></span></p>
<span lang=EN-US style='font-size:12.0pt;font-family:"Times New Roman","serif";
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:
DE;mso-bidi-language:AR-SA'><br clear=all style='page-break-before:always'>
</span>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='font-size:18.0pt;mso-ansi-language:EN-US'>4. <u>Digital Image
Correlation Quick Guide<o:p></o:p></u></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>This guide should help you to perform a simple
and fast analysis of your images. Before we start you should check your image
format and the naming of your files. The preferred image format is *.tif and
can be compressed with the packbits compression. JPEG or other image formats as
well as MPEG video compression formats will not provide you with sub pixel
resolution since the images are processed to save as much space as possible. <o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>The script we use to create a list of images to
process (filelist_generator.m) is kind of limited to a certain format but it is
possible to generate your own list of images. If you want to change the format
or the names of your images you can use free programs like Irfanview (<a
href="http://www.irfanview.com/">www.irfanview.com</a>) to batch process a huge
number of images.<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><i style='mso-bidi-font-style:
normal'><span lang=EN-US style='font-size:16.0pt;mso-ansi-language:EN-US'>4
Steps to Success:<o:p></o:p></span></i></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l0 level1 lfo1;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='font-size:16.0pt;mso-ansi-language:EN-US'><span
style='mso-list:Ignore'>1.<span style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><u><span lang=EN-US style='font-size:16.0pt;
mso-ansi-language:EN-US'>Step: Filename list generation with
filelist_generator.m<o:p></o:p></span></u></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>Just type filelist_generator; and
press ENTER at the command line of matlab. The following window should
appear:<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='margin-left:18.0pt;text-align:center'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shapetype
id="_x0000_t75" coordsize="21600,21600" o:spt="75" o:preferrelative="t"
path="m@4@5l@4@11@9@11@9@5xe" filled="f" stroked="f">
<v:stroke joinstyle="miter"/>
<v:formulas>
<v:f eqn="if lineDrawn pixelLineWidth 0"/>
<v:f eqn="sum @0 1 0"/>
<v:f eqn="sum 0 0 @1"/>
<v:f eqn="prod @2 1 2"/>
<v:f eqn="prod @3 21600 pixelWidth"/>
<v:f eqn="prod @3 21600 pixelHeight"/>
<v:f eqn="sum @0 0 1"/>
<v:f eqn="prod @6 1 2"/>
<v:f eqn="prod @7 21600 pixelWidth"/>
<v:f eqn="sum @8 21600 0"/>
<v:f eqn="prod @7 21600 pixelHeight"/>
<v:f eqn="sum @10 21600 0"/>
</v:formulas>
<v:path o:extrusionok="f" gradientshapeok="t" o:connecttype="rect"/>
<o:lock v:ext="edit" aspectratio="t"/>
</v:shapetype><v:shape id="_x0000_i1025" type="#_x0000_t75" style='width:189.75pt;
height:138.75pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image001.png"
o:title=""/>
</v:shape><![endif]--><![if !vml]><img border=0 width=253 height=185
src="Correlation_Tracking_Guide_2010-Dateien/image002.jpg" v:shapes="_x0000_i1025"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>If you select automatically, the
following menu will ask you for the first image you would like to process:<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1026"
type="#_x0000_t75" style='width:414.75pt;height:307.5pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image003.png"
o:title=""/>
</v:shape><![endif]--><![if !vml]><img border=0 width=553 height=410
src="Correlation_Tracking_Guide_2010-Dateien/image004.jpg" v:shapes="_x0000_i1026"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>Here you can select e.g.
PIC0001.tif. You will be asked to save the file, please do not change the name
of the filename list as automate_image and other tools will need it. You should
also save the file in the folder where your images are. After that you will be
asked if you want to read out the time from the images:<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='margin-left:18.0pt;text-align:center'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1027"
type="#_x0000_t75" style='width:308.25pt;height:111.75pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image005.png"
o:title=""/>
</v:shape><![endif]--><![if !vml]><img border=0 width=411 height=149
src="Correlation_Tracking_Guide_2010-Dateien/image006.jpg" v:shapes="_x0000_i1027"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>If you answer yes Matlab can read
the acquisition time from your images. As the information is gathered fro the
EXIF data the time resolution is limited to 1 second.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>If you chose to use manual you will
find a different window:<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='margin-left:18.0pt;text-align:center'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1028"
type="#_x0000_t75" style='width:243pt;height:102.75pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image007.jpg"
o:title="filelist_generator"/>
</v:shape><![endif]--><![if !vml]><img border=0 width=324 height=137
src="Correlation_Tracking_Guide_2010-Dateien/image007.jpg" v:shapes="_x0000_i1028"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Fig. 1: Input of first and last image to create
an image list with filelist_generator.m<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>The numbers will be the number at
the end of each filename. After depositing these numbers in the dialog the next
window will ask for the first 4 letters of the filenames.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='margin-left:18.0pt;text-align:center'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1029"
type="#_x0000_t75" style='width:243pt;height:1in'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image008.jpg"
o:title="filelist_generator_2"/>
</v:shape><![endif]--><![if !vml]><img border=0 width=324 height=96
src="Correlation_Tracking_Guide_2010-Dateien/image008.jpg" v:shapes="_x0000_i1029"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Fig. 2: Input for the first 4 letters in
filelist_generator.m<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>The next step is to save the file
name list into the folder with the images to process.<o:p></o:p></span></p>
<p class=MsoNormal align=center style='margin-left:18.0pt;text-align:center'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1030"
type="#_x0000_t75" style='width:252pt;height:162pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image009.jpg"
o:title="filelist_generator_3"/>
</v:shape><![endif]--><![if !vml]><img border=0 width=336 height=216
src="Correlation_Tracking_Guide_2010-Dateien/image009.jpg" v:shapes="_x0000_i1030"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Fig. 3: Dialog to save the file name list into
the folder with the images to analyze.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l0 level1 lfo1;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='font-size:16.0pt;mso-ansi-language:EN-US'><span
style='mso-list:Ignore'>2.<span style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><u><span lang=EN-US style='font-size:16.0pt;
mso-ansi-language:EN-US'>Grid generation with grid_generator.m for correlation:<o:p></o:p></span></u></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>It has to be noted that the user can
always generate his own marker positions. Therefore the marker position in
pixel has to be saved as a text based format where the x-position is saved as
grid_x.dat and the y-position saved as grid_y.dat. <o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>To start just type grid_generator;
and press ENTER at the command line of matlab. The following window should
appear:<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='margin-left:18.0pt;text-align:center'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1031"
type="#_x0000_t75" style='width:414.75pt;height:307.5pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image010.png"
o:title=""/>
</v:shape><![endif]--><![if !vml]><img border=0 width=553 height=410
src="Correlation_Tracking_Guide_2010-Dateien/image011.jpg" v:shapes="_x0000_i1031"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Fig. 4: Dialog to open the first (base) image
to generate a grid<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>In this dialog the first (base)
image can be selected in which the grid can be created. After selecting this
base image, the image will be opened and a new dialog pops up to ask you if you
would like to load an existing grid. If you want to create a new one just hit
No and go ahead.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1032"
type="#_x0000_t75" style='width:414.75pt;height:403.5pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image012.png"
o:title=""/>
</v:shape><![endif]--><![if !vml]><img border=0 width=553 height=538
src="Correlation_Tracking_Guide_2010-Dateien/image013.jpg" v:shapes="_x0000_i1032"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Fig. 5: The opened base image and the menu to
select a preexisting grid.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>You will get a new choice where you
can select a shape for your grid.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1033"
type="#_x0000_t75" style='width:125.25pt;height:219.75pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image014.png"
o:title=""/>
</v:shape><![endif]--><![if !vml]><img border=0 width=167 height=293
src="Correlation_Tracking_Guide_2010-Dateien/image015.jpg" v:shapes="_x0000_i1033"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>The different types are a
rectangular or circular grid, two markers, or a line of markers. If you choose a
rectangular grid type, the pointer will change from an arrow to a horizontal
and a vertical line which will help you finding the right position. The idea is
to click on the two diagonal positions which will define the outer dimensions
of a box containing the grid.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='margin-left:18.0pt;text-align:center'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1034"
type="#_x0000_t75" style='width:414.75pt;height:200.25pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image016.jpg"
o:title="grid_generator_4"/>
</v:shape><![endif]--><![if !vml]><img border=0 width=553 height=267
src="Correlation_Tracking_Guide_2010-Dateien/image016.jpg" v:shapes="_x0000_i1034"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Fig. 6: The horizontal and vertical lines allow
an accurate positioning of the grid.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>The selected box will be shown in
the image and a dialog will pop up to ask your for the input of a raster point
distance in x and y direction. <o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='margin-left:18.0pt;text-align:center'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1035"
type="#_x0000_t75" style='width:243pt;height:99pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image017.jpg"
o:title="grid_generator_5"/>
</v:shape><![endif]--><![if !vml]><img border=0 width=324 height=132
src="Correlation_Tracking_Guide_2010-Dateien/image017.jpg" v:shapes="_x0000_i1035"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Fig. 7: Horizontal (x-direction) and vertical
(y-direction) grid resolution with a default resolution of 50 pixel distance
between raster points.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>The code will now generate the
chosen grid and will plot it on top of the sample image. The last dialogue will
ask you if you want to use the generated grid and save the grid_x.dat and
grid_y.dat to be processed, if you want to try again or if you want to choose
another grid type.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='margin-left:18.0pt;text-align:center'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1036"
type="#_x0000_t75" style='width:117pt;height:97.5pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image018.jpg"
o:title="grid_generator_7"/>
</v:shape><![endif]--><![if !vml]><img border=0 width=156 height=130
src="Correlation_Tracking_Guide_2010-Dateien/image018.jpg" v:shapes="_x0000_i1036"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Fig. 8: The last menu will allow you to accept
the grid (which will be saved), try again or choose another grid type.<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>You will be asked if you would like to add more
points ro if you would like to remove markers. If you are happy with the result
just hit END.<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1037"
type="#_x0000_t75" style='width:125.25pt;height:219.75pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image019.png"
o:title=""/>
</v:shape><![endif]--><![if !vml]><img border=0 width=167 height=293
src="Correlation_Tracking_Guide_2010-Dateien/image020.jpg" v:shapes="_x0000_i1037"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l0 level1 lfo1;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='font-size:16.0pt;mso-ansi-language:EN-US'><span
style='mso-list:Ignore'>3.<span style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><u><span lang=EN-US style='font-size:16.0pt;
mso-ansi-language:EN-US'>Run correlation with automate_image.m or with
automate_image_mp_2009b.m:<o:p></o:p></span></u></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>The automation function is the
central function and processes all markers and images. Therefore the Current
directory in matlab has to be the folder where automate_image.m finds the
filenamelist.mat, grid_x.dat and grid_y.dat as well as the images specified in
filenamelist.mat. Just type automate_image; and press ENTER at the
command line of matlab. <o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>At first, automate_image.m will open
the first image in the filenamelist.mat and plot the grid as green crosses on
top. The next step will need some time since all markers in that image have to
be processed for the first image. After correlating image one and two the new
raster positions will be plotted as red crosses. On top of the image and the
green crosses. The next dialog will ask you if you want to continue with this
correlation or cancel. If you press continue, automate_image.m will process
all images in the filenamelist.mat. The time it will take to process all
images will be plotted on the figure but can easily be estimated by knowing the
raster point processing speed (see processing speed). <o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>Depending on the number of images
and markers you are tracking, this process can take between seconds and days.
For 100 images and 200 markers a decent computer should need 200 seconds. To
get a better resolution you can always run jobs overnight (e.g. 6000 markers in
1000 images) with higher resolutions. <o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>Keep in mind that CORRSIZE which
you changed in cpcorr.m will limit your resolution. If you chose to use the
15 pixel as suggested a marker distance of 30 pixel will lead to a full cover
of the strain field. Choosing smaller marker distances will lead to an
interpolation since two neighboring markers share pixels. Nevertheless a higher
marker density can reduce the noise of the strain field.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>When all images are processed,
automate_image will write the files validx.mat, validy.mat, validx.txt and
validy.txt. The text files are meant to store the result in a format which can
be accessed by other programs also in the future. <o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>To stop automate_image use the key
combination <i style='mso-bidi-font-style:normal'>Ctrl</i> c. <o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>In case of a crashes, errors
generating the right filenamelist or the interruption of the correlation
process by the user, the function recover_correlation.m can be called which
extracts the last marker positions sets up automate_image.m and continues at
the last image.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l0 level1 lfo1;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='font-size:16.0pt;mso-ansi-language:EN-US'><span
style='mso-list:Ignore'>4.<span style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><u><span lang=EN-US style='font-size:16.0pt;
mso-ansi-language:EN-US'>Analyze the displacement with displacement.m:<o:p></o:p></span></u></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>As last part, the post processing is
the most interesting and awarding step since you actually can analyze the
collected displacement data. The displacement.m function is a small collection
of functions which allows you to review the displacement field, calculate the
strain or delete markers which were not correlated or tracked very well. <o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>To start, type into the command
window displacement; or [validx,validy]=displacement; in case you want to
save the changed files (validx and validy) from the workspace (see chapter 3).
A window will pop up asking you for the validx.dat file which contains the x-displacement
off all markers in all images, followed by a dialog for the validy.dat
containing the y data. After displacement.m has loaded both files, a new
window pops up which allows you to choose between different options.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='margin-left:18.0pt;text-align:center'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1038"
type="#_x0000_t75" style='width:234.75pt;height:408.75pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image021.png"
o:title=""/>
</v:shape><![endif]--><![if !vml]><img border=0 width=313 height=545
src="Correlation_Tracking_Guide_2010-Dateien/image022.jpg" v:shapes="_x0000_i1038"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Fig. 9: The displacement.m function allows
cleaning up the data set selecting parts of it plot the displacement or measure
the strain in x- and y-direction.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>For a typical analysis you always
have to delete some of the markers with did not all too well during the
correlation or peak fitting step. This can happen e.g. due to marker movement
during the test, changing light conditions or in case of the correlation
technique due to the fact that the sample surface did not provide enough
characteristics. <o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>We start with clicking on the <b
style='mso-bidi-font-weight:normal'>3D Mesh Plot of Displacement</b> button which
will bring up a new window and a dialog asking if you want to create a video.
Clicking on yes will create a new folder called video and the 3D displacement
plot of each image will be saved as *.jpg. The click on the no button will just
start the 3D displacement plot. This part of the displacement.m allows you to
watch displacement (z-axis) versus location (x- and y-axis) for all images. To
get a better 3-dimensional understanding all markers are projected as green
dots on the plane normal to the y axis. The Image number will be shown in the
plot. It has to be noted that the orientation of the strain depends on the
orientation of the image during the correlation process. The x-axis in the plot
is the horizontal direction in the image and the y-direction the perpendicular
direction. The plotted displacement on the z-axis is always the x-displacement
of the data contained in validx.mat and validy.mat. To look at the y
displacement the user has to wait for all images to be plotted and then after
the displacement-dialog appears again, click the button <b style='mso-bidi-font-weight:
normal'>Rotate Orientation (exchange x and y)</b>. This will exchange validx
and validy and clicking again on the <b style='mso-bidi-font-weight:normal'>3D
Mesh Plot of Displacement </b>button will now show the displacement in the y-direction.
The user has to keep track of this change since it will affect all plotting and
strain measurement steps lying ahead during the same displacement.m session. <o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='margin-left:18.0pt;text-align:center'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1039"
type="#_x0000_t75" style='width:415.5pt;height:369pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image023.png"
o:title=""/>
</v:shape><![endif]--><![if !vml]><img border=0 width=554 height=492
src="Correlation_Tracking_Guide_2010-Dateien/image024.jpg" v:shapes="_x0000_i1039"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Fig. 10: 3D Displacement versus x- and
y-position. The orientation of the x-axis is the horizontal in the analyzed
image and the y-axis is the vertical. The displacement is always the
x-diplacement until you exchange validx and validy with the <b
style='mso-bidi-font-weight:normal'>Rotate Orientation (exchange x and y)</b>
button.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>The next step is to get rid of badly
tracked markers. This can be done in three different ways:<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l2 level1 lfo2;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='mso-ansi-language:EN-US'>delete
single markers, click <b style='mso-bidi-font-weight:normal'>Remove badly
tracked marker, one by one (Position)</b><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l2 level1 lfo2;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='mso-ansi-language:EN-US'>delete
a bunch of markers at once, click <b style='mso-bidi-font-weight:normal'>Delete
multiple markers (Position)</b> <o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l2 level1 lfo2;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='mso-ansi-language:EN-US'><span style='mso-list:Ignore'>-<span
style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span lang=EN-US style='mso-ansi-language:EN-US'>delete
a bunch of markers from the displacement versus x position plot, click <b
style='mso-bidi-font-weight:normal'>Delete markers from displacement vs.
position plot</b>.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>The first two will provide you with
a top down view with x- and y axis being the horizontal and vertical direction
in the analyzed image and the displacement is expressed as underlying colors.
The third option will show the projected markers which allows you to sometimes
more easily access the peaks. You have to play around with these two different
views and rotate the orientation back and forth while you are checking through
the images until you get a clean data set. This requires some practice,
therefore take your time and analyze the data carefully before you really
delete a bunch of markers.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><b style='mso-bidi-font-weight:
normal'>Remove badly tracked marker, one by one (Position)</b> will allow you
to click on markers which are not at the right place. The marker with the
highest displacement value will be a red dot while the marker with the lowest
displacement will be a blue dot. By clicking close to one of the markers the
plot will be updated to the new displacement field and the color code will be
updated to the new highest and lowest displacement value.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><b style='mso-bidi-font-weight:
normal'>Delete multiple markers (Position)</b> will allow you to choose a
rectangle and all markers in it will be deleted.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>The same applies to the <b
style='mso-bidi-font-weight:normal'>Delete markers from displacement vs.
position plot</b>, it is just a different view of the markers.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><b
style='mso-bidi-font-weight:normal'><span lang=EN-US style='mso-ansi-language:
EN-US'>Delete markers moving relative to their neighbors </span></b><span
lang=EN-US style='mso-ansi-language:EN-US'>which finds the next 10 or 20
neighbor markers and plots the relative distance to these guys. If you acquired
a lot of markers and images that may take a while. If you want a noise free
image this tool allows you to find the bad guys jumping around between
positions:<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><b
style='mso-bidi-font-weight:normal'><span lang=EN-US style='mso-ansi-language:
EN-US'><o:p> </o:p></span></b></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><b
style='mso-bidi-font-weight:normal'><span lang=EN-US style='mso-ansi-language:
EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1040" type="#_x0000_t75"
style='width:282pt;height:84.75pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image025.png"
o:title=""/>
</v:shape><![endif]--><![if !vml]><img border=0 width=376 height=113
src="Correlation_Tracking_Guide_2010-Dateien/image026.jpg" v:shapes="_x0000_i1040"><![endif]><o:p></o:p></span></b></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><b
style='mso-bidi-font-weight:normal'><span lang=EN-US style='mso-ansi-language:
EN-US'><o:p> </o:p></span></b></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><b
style='mso-bidi-font-weight:normal'><span lang=EN-US style='mso-ansi-language:
EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1041" type="#_x0000_t75"
style='width:415.5pt;height:369pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image027.png"
o:title=""/>
</v:shape><![endif]--><![if !vml]><img border=0 width=554 height=492
src="Correlation_Tracking_Guide_2010-Dateien/image028.jpg" v:shapes="_x0000_i1041"><![endif]><o:p></o:p></span></b></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><b
style='mso-bidi-font-weight:normal'><span lang=EN-US style='mso-ansi-language:
EN-US'><o:p> </o:p></span></b></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>The red line markes the maximum
allowed difference to the other markers and the cross is where your mouse is
hovering. If you click a second time where the mouse is in the figure, the
minimum and maximum allowed relative displacement to the next neighbors would
be just 0.11 pixels. This function helps a lot cleaning up your data set.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>After cleaning up the data set and
if you have started the displacement.m file with
[validx,validy]=displacement;, you will find validx and validy as variables
in the workspace. Right-click on them and save the selection with a different
name than validx.mat and validy.mat and nect time you open up displacement.m
choose them. <o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>After cleaning up and saving the
data you will want to measure strain. Here also two ways you can choose. The
first one is straight forward by just clicking on either <b style='mso-bidi-font-weight:
normal'>Strain Measurement between 2 Points</b> which will let you choose two
points or <b style='mso-bidi-font-weight:normal'>1D Average Strain Measurement</b>
which will use all points available. The second one is to select markers with <b
style='mso-bidi-font-weight:normal'>Select Markers to Analyze</b> from a
certain location and then jump back to the displacement.m and then calculate
the strain. Again it is important to keep track of all <b style='mso-bidi-font-weight:
normal'>Rotate Orientation</b> operations since you will analyze in both cases
the x-displacement versus the x-position. In case the data was not rotated, the
strain in horizontal direction in the image will be measured. <o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>After clicking on <b
style='mso-bidi-font-weight:normal'>Strain Measurement between 2 Points</b>
you will have to choose two points. The function will find the closest two
points to where you clicked and plot the strain versus image number.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>If you are not happy with the result
you can still choose two other markers by clicking Yes in the next dialog. If
you stick with these markers, you can either save the result as a text file (image_1Dstrain.txt)
or just go back to the displacement.m dialog. Make sure you change the
filename in the explorer before you run this code another time since it will
just overwrite it.<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='margin-left:18.0pt;text-align:center'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1042"
type="#_x0000_t75" style='width:331.5pt;height:302.25pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image029.jpg"
o:title="displacement_3"/>
</v:shape><![endif]--><![if !vml]><img border=0 width=442 height=403
src="Correlation_Tracking_Guide_2010-Dateien/image029.jpg" v:shapes="_x0000_i1042"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Fig. 11: From this window two points can be
picked which will be used to measure the strain<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='margin-left:18.0pt;text-align:center'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1043"
type="#_x0000_t75" style='width:415.5pt;height:369pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image030.png"
o:title=""/>
</v:shape><![endif]--><![if !vml]><img border=0 width=554 height=492
src="Correlation_Tracking_Guide_2010-Dateien/image031.jpg" v:shapes="_x0000_i1043"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Fig. 12: Strain versus image number<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>After clicking on the <b
style='mso-bidi-font-weight:normal'>1D Average Strain Measurement</b> button,
the x-displacement versus x-direction will be plotted for each image and then
fitted by a linear function. The slope is the true strain which will be plotted
versus the image number after all images are processed. If you choose to save
the strain versus image number you will be asked where you want to save the
data as an ASCII file which can be opened with matlab, excel or just the
notepad.<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='text-align:center'><span lang=EN-US
style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1044"
type="#_x0000_t75" style='width:415.5pt;height:369pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image032.png"
o:title=""/>
</v:shape><![endif]--><![if !vml]><img border=0 width=554 height=492
src="Correlation_Tracking_Guide_2010-Dateien/image033.jpg" v:shapes="_x0000_i1044"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Fig. 13: The slope of the linear fit of the
displacement versus position allows to plot the true strain versus image
number.<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>If you want to analyze a special
part of your sample it is best to use the <b style='mso-bidi-font-weight:normal'>Select
Markers to Analyze</b> button in the displacement.m menu. The menu which
will pop up allows you to choose between different types of grids.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>After you have chosen the markers
you want to process, run <b style='mso-bidi-font-weight:normal'>1D Average
Strain Measurement</b> to get the strain from these markers. Clicking the <b
style='mso-bidi-font-weight:normal'>Rotate Orientation (exchange x and y)</b>
button and running the strain analysis again will give you the strain in the
perpendicular direction.<o:p></o:p></span></p>
<span lang=EN-US style='font-size:12.0pt;font-family:"Times New Roman","serif";
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:
DE;mso-bidi-language:AR-SA'><br clear=all style='page-break-before:always'>
</span>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='font-size:18.0pt;mso-ansi-language:EN-US'>5. <u>Digital Image Tracking
Quick Guide</u> <o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>This guide should help you to perform a simple
and fast analysis of your images. Before we start you should check your image
format and the naming of your files. The preferred image format is *.tif and
can be compressed with the packbits compression. JPEG or other image formats as
well as MPEG video compression formats will not provide you with sub pixel
resolution since the images are processed to save as much space as possible.
The script we use to create a list of images to process (filelist_generator.m)
is kind of limited to a certain format but it is possible to generate your own
list of images which will be explained later. If you want to change the format
or the names of your images you can use free programs like Irfanview (<a
href="http://www.irfanview.com/">www.irfanview.com</a>) to batch process a huge
number of images.<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><i style='mso-bidi-font-style:
normal'><span lang=EN-US style='font-size:16.0pt;mso-ansi-language:EN-US'>4
Steps to Success:<o:p></o:p></span></i></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='font-size:16.0pt;mso-ansi-language:EN-US'>1. <u>Step:
Filename list generation with filelist_generator.m<o:p></o:p></u></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>Just type filelist_generator; and
press ENTER at the command line of matlab. The following window should
appear:<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='margin-left:18.0pt;text-align:center'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1045"
type="#_x0000_t75" style='width:243pt;height:102.75pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image007.jpg"
o:title="filelist_generator"/>
</v:shape><![endif]--><![if !vml]><img border=0 width=324 height=137
src="Correlation_Tracking_Guide_2010-Dateien/image007.jpg" v:shapes="_x0000_i1045"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Fig. 1: Input of first and last image to create
an image list with filelist_generator.m<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>The numbers will be the number at
the end of each filename. After depositing these numbers in the dialog the next
window will ask for the first 4 letters of the filenames.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='margin-left:18.0pt;text-align:center'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1046"
type="#_x0000_t75" style='width:243pt;height:1in'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image008.jpg"
o:title="filelist_generator_2"/>
</v:shape><![endif]--><![if !vml]><img border=0 width=324 height=96
src="Correlation_Tracking_Guide_2010-Dateien/image008.jpg" v:shapes="_x0000_i1046"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Fig. 2: Input for the first 4 letters in
filelist_generator.m<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>The next step is to save the file
name list into the folder with the images to process.<o:p></o:p></span></p>
<p class=MsoNormal align=center style='margin-left:18.0pt;text-align:center'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1047"
type="#_x0000_t75" style='width:252pt;height:162pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image009.jpg"
o:title="filelist_generator_3"/>
</v:shape><![endif]--><![if !vml]><img border=0 width=336 height=216
src="Correlation_Tracking_Guide_2010-Dateien/image009.jpg" v:shapes="_x0000_i1047"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Fig. 3: Dialog to save the file name list into
the folder with the images to analyze.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l3 level1 lfo4;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='font-size:16.0pt;mso-ansi-language:EN-US'><span
style='mso-list:Ignore'>2.<span style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><u><span lang=EN-US style='font-size:16.0pt;
mso-ansi-language:EN-US'>Run tracking with peak_labelling.m, pickpeak.m and
strain_lineprofile.m:<o:p></o:p></span></u></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><b
style='mso-bidi-font-weight:normal'><span lang=EN-US style='mso-ansi-language:
EN-US'>peak_labelling.m<o:p></o:p></span></b></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>If you trust the automatic peak
labeling, you can use peak_labelling.m. Type [validx,validy]=peaklabelling;
It will scan your image and subtract the hopefully dark background and identify
maxima with a value higher then a certain grey value. It will ask you for an
image (the base image) which will be used to identify the peaks and run a first
fit through all of them.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='margin-left:18.0pt;text-align:center'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1048"
type="#_x0000_t75" style='width:252pt;height:164.25pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image034.jpg"
o:title="grid_generator_1"/>
</v:shape><![endif]--><![if !vml]><img border=0 width=336 height=219
src="Correlation_Tracking_Guide_2010-Dateien/image034.jpg" v:shapes="_x0000_i1048"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>Fig. : Open the first image for
automatic peak identification.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>After opening the first image
peak_labelling will plot the image as intensity plot where blue is low and
red is high intensity. You will be asked to draw a box in which
peak_labelling will check for peaks. After selecting the area, it will take
some time to process. After identifying the peaks peak labeling will
automatically start to fit all peaks and plot the residuals of all peaks.
Minimizing the matlab console window will increase processing speed. The title
in the figure will indicate the status of the processing and the estimated time
it will take.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='margin-left:18.0pt;text-align:center'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1049"
type="#_x0000_t75" style='width:342pt;height:306pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image035.jpg"
o:title="peaklabelling01"/>
</v:shape><![endif]--><![if !vml]><img border=0 width=456 height=408
src="Correlation_Tracking_Guide_2010-Dateien/image035.jpg" v:shapes="_x0000_i1049"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>Fig. : Select an area to find peaks.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>At the end of the processing, all
relevant files (fitxy.dat contains the fitting parameters for each point,
validx.dat/.mat contains the x-position of each peak, and validy.dat/.mat
contains the y-position of each peak) will be saved in the current folder. One
relevant parameter is not directly accessible since this approach is trying to
automate the whole processing step but can be changed in the peak_labelling.m
file. <span style='mso-spacerun:yes'> </span>It can be found in
peak_labelling.m in line 182 and 183 where the residuals of the fits in x and
y directions are validated to guarantee a flawless processing. If a fit does
not work at all, the function will crash. To prevent this I let the function
decide very early which peak is good or bad. Only the fits with a low residual
will be used. Therefore you should make sure you do not use too high values
here. You will also find a similar value in the function sortvalidpoints.m
which is called by peak_labelling.m at the end of the processing to create
validx and validy. You have to change this value in line 39 too, otherwise
the peaks will be deleted at the end. Since the input file fitxy.dat is saved
before these points are deleted, you can still play around with this value and
see how it affects your resulting validx and validy.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><b
style='mso-bidi-font-weight:normal'><span lang=EN-US style='mso-ansi-language:
EN-US'>pickpeak.m</span></b><span lang=EN-US style='mso-ansi-language:EN-US'><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>After starting the function by
typing at the console pickpeak;, the function will ask you for the first
image and then will need to know how many peaks you want to identify.<o:p></o:p></span></p>
<p class=MsoNormal align=center style='margin-left:18.0pt;text-align:center'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='margin-left:18.0pt;text-align:center'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1050"
type="#_x0000_t75" style='width:242.25pt;height:1in'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image036.jpg"
o:title="pickpeak01"/>
</v:shape><![endif]--><![if !vml]><img border=0 width=323 height=96
src="Correlation_Tracking_Guide_2010-Dateien/image036.jpg" v:shapes="_x0000_i1050"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal align=center style='margin-left:18.0pt;text-align:center'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt'><span lang=EN-US
style='mso-ansi-language:EN-US'>Fig. : How many peaks do you want to identify
for tracking by pickpeak.m?<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>After you typed in a number (e.g.
20), the function will present you the selected image and you can click boxes
around the peaks you want to track. For each peak you have to define a box by
clicking on the lower left and the upper right of each peak. The center of each
box will be highlighted by a blue circle. It is very important that you choose
a box which is wide enough for the curve fitting to get enough data points. But
if you choose too big boxes you will trap several peaks in them and the residual
of the fit will be high which the software will interpret as bad fit. A box
size of 2-4 times of the visible peaks seems to be a good idea. Also it is
better to choose round shaped peaks since this provides a better greyscale
profile if you choose to use a gauss function for the fitting process. <o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>After you picked all peaks, the
software will fit all peaks which will be displayed in a small window and after
the first image processed you will only see the actual image and with blue
circles on top indicating the peaks which are still in the fitting process.
Vanishing circles indicate that the peak could not be fitted any more.<span
style='mso-spacerun:yes'> </span>The title in this window will tell you the
approximated total processing time and how much percent of the images are
processed. <o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>After all images are processed, the data
will be saved the same way as in the peak_labelling.m function. <o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><b
style='mso-bidi-font-weight:normal'><span lang=EN-US style='mso-ansi-language:
EN-US'>strain_lineprofile.m<o:p></o:p></span></b></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>This function will track two
greyscale maxima in a line profile which you can choose from an image. After
opening the first image, the software will let you to choose a horizontal line
at a vertical position in the image. The next dialog will ask you which
integration width (in vertical, y-direct) you want to use. Default is 40 but
you should keep in mind that it should be either much wider or much narrower
than your markers. If you choose the same width and the markers are drifting in
y direction the peaks in the greyscale profile will change which will translate
as error into your strain analysis. <o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>The calculated greyscale profile
will then be plotted and you can choose two peaks. The first click should be
located on the horizontal level of the background and the vertical position of
the first peak and the second click should be placed at the horizontal level of
the average peak amplitude of the two chosen peaks and the vertical position of
the second peak. After the second click, the function will fit two gauss
functions to the greyscale profile and plot a red fitting function on top of
the data while processing all images. The peak positions will be saved in the
file raw_peak_results.dat and the strain as strain_x.dat as well as a two
column file with the image number in the first column and the strain in the
second column. All files are tab delimited ASCII format and can be opened e.g.
with excel. You cannot use displacement.m for the strain analysis since this
data is only 1D with 2 points.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><!--[if gte vml 1]><v:shape id="_x0000_i1051"
type="#_x0000_t75" style='width:414.75pt;height:345pt'>
<v:imagedata src="Correlation_Tracking_Guide_2010-Dateien/image037.jpg"
o:title="line_profile"/>
</v:shape><![endif]--><![if !vml]><img border=0 width=553 height=460
src="Correlation_Tracking_Guide_2010-Dateien/image037.jpg" v:shapes="_x0000_i1051"><![endif]><o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>Fig. : Greyscale lineprofile, ready
to pick two peaks.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:36.0pt;text-align:justify;text-indent:
-18.0pt;mso-list:l3 level1 lfo4;tab-stops:list 36.0pt'><![if !supportLists]><span
lang=EN-US style='font-size:16.0pt;mso-ansi-language:EN-US'><span
style='mso-list:Ignore'>3.<span style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><u><span lang=EN-US style='font-size:16.0pt;
mso-ansi-language:EN-US'>Run displacement.m:<o:p></o:p></span></u></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:18.0pt;text-align:justify'><span
lang=EN-US style='mso-ansi-language:EN-US'>Please check step 4 in 4. <u>Digital
Image Correlation Quick Guide</u>.<o:p></o:p></span></p>
<span lang=EN-US style='font-size:18.0pt;font-family:"Times New Roman","serif";
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:
DE;mso-bidi-language:AR-SA'><br clear=all style='page-break-before:always'>
</span>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='font-size:18.0pt;mso-ansi-language:EN-US'>6. Extra scripts and
information you might find useful<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><span lang=EN-US style='mso-ansi-language:EN-US'>stress_strainmatch.m</span></b><span
lang=EN-US style='mso-ansi-language:EN-US'>:<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Matching stress and strain can become a pain if
they were captured with different programs and/or computers, which can be the
case if the strain is captured with a camera. This little script can read in
stress and strain files (as long as they are ASCII files) and match the two
together. It needs the time_image.txt which is created by the filelist_generator.m,
the strain file and the stress file. You have to choose which column is stress
and strain in each file. After it has loaded all the files the script will ask
you for the time between starting the stress measurement and the first image
file. The stress versus image plot shows you immediately if the chosen value
makes sense and the file stress_image_x.txt will be written to the Current
Folder on the hard disk.<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><span lang=EN-US style='mso-ansi-language:EN-US'>Markerplotting.m</span></b><span
lang=EN-US style='mso-ansi-language:EN-US'>:<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>This script will plot the markers as small dots
onto the analyzed images. You have to provide validx.m, validy.m, filenamelist
and the images in the Current Folder. After staring the script you will be
asked if you want to create a video or not. If you click yes a folder Video_Markers
will be created and each frame captured as a *.jpg file.<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><span lang=EN-US style='mso-ansi-language:EN-US'>Input and output
files:<o:p></o:p></span></b></p>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><span lang=EN-US style='mso-ansi-language:EN-US'>Image files</span></b><span
lang=EN-US style='mso-ansi-language:EN-US'> should be 8 bit greyscale Tiff
(*.tif) images and should be named with a increasing number at the end. <o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>If you want to use filelist_generator.m, the
filename should be something like PIC0 or<span style='mso-spacerun:yes'>
</span>PIC1 plus the number at the end scaling from 0001 to<span
style='mso-spacerun:yes'> </span>9999. The full name would be for the first
file PIC10001.tif. If you need to process more than 9999 image then you have
to modify filelist_generator.m or write an email to us. The <b
style='mso-bidi-font-weight:normal'>filenamelist.mat</b> is a matlab file
since it was easier to combine text and numbers into one file by just saving it
in this format. <o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><span lang=EN-US style='mso-ansi-language:EN-US'>time_image.txt</span></b><span
lang=EN-US style='mso-ansi-language:EN-US'> contains the time the image was
captured. Please keep in mind that using other software to change the name or
the format after capturing the images can lead to a change of the date and
capturing time of the images. It happens that the software will change the name
of the images and the new creation date and time of each image will be the time
it was renamed. Programs like Irfanview have the option to preserve the
original time of the images. This option has to be checked to make sure you can
match stress and strain at the end of your analysis.<o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><span lang=EN-US style='mso-ansi-language:EN-US'>grid_x.dat</span></b><span
lang=EN-US style='mso-ansi-language:EN-US'> and <b style='mso-bidi-font-weight:
normal'>grid_y.dat</b> are the files containing the x- and y-pixel position
of the starting grid created by the grid_generator.m function. If you want to
create your own grids, you can do that with excel and save them as tab
delimited ASCII files. Both files can be organized as column vectors or
matrices, as long as they are equal. <o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><span lang=EN-US style='mso-ansi-language:EN-US'>validx.dat</span></b><span
lang=EN-US style='mso-ansi-language:EN-US'> and <b style='mso-bidi-font-weight:
normal'>vaildy.dat</b> are both ASCII formatted tab delimited files which
contain in columns the position of each marker for each image. <o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><b style='mso-bidi-font-weight:
normal'><span lang=EN-US style='mso-ansi-language:EN-US'>fitxy.dat</span></b><span
lang=EN-US style='mso-ansi-language:EN-US'> will be only saved if you use
peak_labelling.m or pickpeak.m and contains all fitting parameters for each
peak. <o:p></o:p></span></p>
<span lang=EN-US style='font-size:12.0pt;font-family:"Times New Roman","serif";
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:
DE;mso-bidi-language:AR-SA'><br clear=all style='page-break-before:always'>
</span>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='font-size:18.0pt;mso-bidi-font-size:12.0pt;mso-ansi-language:EN-US'>7.
Acknowledgement</span><span lang=EN-US style='mso-ansi-language:EN-US'><o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>Prof. W. N. Sharpe J. provided some helpful
hints what would be important to the user and what would be a waste of time
;-). I want to acknowledge him since it is always a pleasure to work in his lab
at the JHU. <o:p></o:p></span></p>
<p class=MsoNormal style='text-align:justify'><span lang=EN-US
style='mso-ansi-language:EN-US'>We got<span style='mso-spacerun:yes'> </span>a
lot of help from all our colleagues off our near and far communities and we do
appreciate this a lot. Please comment on our Mathworks site if you need
something or if you think this tool works as it should.<o:p></o:p></span></p>
</div>
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