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function [validx, validy, displx, disply]=RTCorrCode(grid_x,grid_y,straindir,Firstimagename)
% Real time Correlation Code
%
% Written by Chris
RTselection = menu(sprintf('End processing by end.txt or by last image?'),...
'Stop with end.txt','Stop with image check','Exit');
if RTselection==1
end
if RTselection==2
end
if RTselection==3
return
end
% Filename
if exist('Firstimagename')==0
[Firstimagename ImageFolder]=uigetfile('*.tif','Open First Image');
if Firstimagename~~[]
cd(ImageFolder);
end
end
if Firstimagename~~[]
% Get the number of image name
letters=isletter(Firstimagename);
Pointposition=findstr(Firstimagename,'.');
Firstimagenamesize=size(Firstimagename);
counter=Pointposition-1;
counterpos=1;
letterstest=0;
while letterstest==0
letterstest=letters(counter);
if letterstest==1
break
end
Numberpos(counterpos)=counter;
counter=counter-1;
counterpos=counterpos+1;
if counter==0
break
end
end
Filename_first = Firstimagename(1:min(Numberpos)-1);
Firstfilenumber=Firstimagename(min(Numberpos):max(Numberpos));
Lastname_first = Firstimagename(max(Numberpos)+1:Firstimagenamesize(1,2));
Firstfilenumbersize=size(Firstfilenumber);
onemore=10^(Firstfilenumbersize(1,2));
filenamelist(1,:)=Firstimagename;
h=figure;
if exist('grid_x')==0
fpstest=1;
Filelist=[Firstimagename;Firstimagename];
while fpstest==1
[grid_x,grid_y]=grid_generator(Firstimagename,ImageFolder);
[processingtime]=fpstestfunc(grid_x,grid_y,Filelist);
fpstest = menu(sprintf(['Processing the selected grid will allow ' , num2str(1/processingtime),' frames per second' ]),'Try again','Use the grid');
if fpstest==1
clear grid_x; clear grid_y;
end
end
end
Firstfilenumber=str2num(Firstfilenumber);
u=1+onemore+Firstfilenumber;
ustr=num2str(u);
filenamelist(2,:)=[Filename_first ustr(2:Firstfilenumbersize(1,2)+1) Lastname_first];
numberofimages=2;
counter=1;
input_points_x=grid_x;
input_points_y=grid_y;
base_points_x=grid_x;
base_points_y=grid_y;
base = uint8(mean(double(imread(filenamelist(1,:))),3)); % read in the base image ( which is always image number one. You might want to change that to improve correlation results in case the light conditions are changing during the experiment
numberofmarkers=max(size(grid_x))*min(size(grid_x));
validx(:,1)=reshape(grid_x,[],1);
displx=zeros(numberofmarkers,1);
validy(:,1)=reshape(grid_y,[],1);
disply=zeros(numberofmarkers,1);
tic
while exist('end.txt','file') ==0;
pause(0.01);
if exist(filenamelist((counter+1),:),'file') ==2;
warning(['# Processed Images: ', num2str(numberofimages-1),'; # markers:',num2str(numberofmarkers), '; Processing Image: ',filenamelist(counter+1,:)]) % plot a title onto the image
input = mean(double(imread(filenamelist((counter+1),:))),3); % read in the image which has to be correlated
input_points_for(:,1)=reshape(input_points_x,[],1); % we reshape the input points to one row of values since this is the shape cpcorr will accept
input_points_for(:,2)=reshape(input_points_y,[],1);
base_points_for(:,1)=reshape(base_points_x,[],1);
base_points_for(:,2)=reshape(base_points_y,[],1);
input_correl(:,:)=cpcorr(input_points_for, base_points_for, input, base); % here we go and give all the markers and images to process to cpcorr.m which ic a function provided by the matlab image processing toolbox
input_correl_x=input_correl(:,1); % the results we get from cpcorr for the x-direction
input_correl_y=input_correl(:,2); % the results we get from cpcorr for the y-direction
validx(:,counter+1)=input_correl_x; % lets save the data
savelinex=input_correl_x';
dlmwrite('resultsimcorrx.txt', savelinex , 'delimiter', '\t', '-append'); % Here we save the result from each image; if you are desperately want to run this function with e.g. matlab 6.5 then you should comment this line out. If you do that the data will be saved at the end of the correlation step - good luck ;-)
validy(:,counter+1)=input_correl_y;
saveliney=input_correl_y';
dlmwrite('resultsimcorry.txt', saveliney , 'delimiter', '\t', '-append');
base_points_x=grid_x;
base_points_y=grid_y;
input_points_x=input_correl_x;
input_points_y=input_correl_y;
subplot(2,2,1)
imshow(filenamelist(counter+1,:)) % update image
hold on
plot(grid_x,grid_y,'g+') % plot start position of raster
plot(input_correl_x,input_correl_y,'r+') % plot actual postition of raster
hold off
drawnow
displx(:,counter+1)=validx(:,counter+1)-validx(:,1);
disply(:,counter+1)=validy(:,counter+1)-validy(:,1);
subplot(2,2,2)
xdata=validx(:,counter+1);
ydata=displx(:,counter+1);
if counter==1
x(1)=0
x(2)=0
end
[x,resnormx,residual,exitflagx,output] = lsqcurvefit(@linearfit, [x(1) x(2)], xdata, ydata);
plot(xdata,ydata,'.');
hold on;
ydatafit=x(1)*xdata+x(2);
plot(xdata,ydatafit,'r');
hold off
xlabel('x-pos [pixel]')
ylabel('x-displ [pixel]')
title('x displ. versus x pos. in [pixel]')
slopex(counter,:)=[i x(1) x(2)];
subplot(2,2,4)
xdata=validy(:,counter+1);
ydata=disply(:,counter+1);
if counter==1
y(1)=0
y(2)=0
end
[y,resnormx,residual,exitflagx,output] = lsqcurvefit(@linearfit, [y(1) y(2)], xdata, ydata);
plot(xdata,ydata,'.g');
hold on;
ydatafit=y(1)*xdata+y(2);
plot(xdata,ydatafit,'r');
hold off
xlabel('y-pos [pixel]')
ylabel('y-displ [pixel]')
title('y displ. versus y pos. in [pixel]')
slopey(counter,:)=[i y(1) y(2)];
subplot(2,2,3)
plot(slopex(:,2),'-b')
hold on
plot(slopey(:,2),'-g')
hold off
xlabel('Image # [ ]')
ylabel('x- and y-strain [ ]')
title('Strain in x and y direction versus Image #')
counter=counter+1;
u=1+u;
ustr=num2str(u);
filenamelist(counter+1,:)=[Filename_first ustr(2:Firstfilenumbersize(1,2)+1) Lastname_first];
[numberofmarkers numberofimages]=size(validx);
if RTselection==2
if exist(filenamelist((counter+1),:),'file') ==0;
save validx.dat validx -ascii -tabs
save validy.dat validy -ascii -tabs
warning('Last image detected, RTCorrCode stopped')
return
end
end
subplot(2,2,1),title(['# Processed Images: ', num2str(numberofimages-1),'; fps: ', num2str((numberofimages-1)/toc),'; # markers:',num2str(numberofmarkers), '; Waiting for Image: ',filenamelist(counter+1,:)]) % plot a title onto the image
end
end
save validx.dat validx -ascii -tabs
save validy.dat validy -ascii -tabs
msgboxwicon=msgbox('end.txt file detected, RTCorrCode stopped','Processing stopped!')
warning('end.txt file detected, RTCorrCode stopped')
end
%----------------------------------
%
function [processingtime]=fpstestfunc(grid_x,grid_y,filenamelist)
tic;
input_points_x=grid_x;
base_points_x=grid_x;
input_points_y=grid_y;
base_points_y=grid_y;
% [row,col]=size(base_points_x); % this will determine the number of rasterpoints we have to run through
% [r,c]=size(filenamelist); % this will determine the number of images we have to loop through
base = uint8(mean(double(imread(filenamelist(1,:))),3)); % read in the base image ( which is always image number one. You might want to change that to improve correlation results in case the light conditions are changing during the experiment
input = uint8(mean(double(imread(filenamelist(2,:))),3)); % read in the image which has to be correlated
input_points_for(:,1)=reshape(input_points_x,[],1); % we reshape the input points to one row of values since this is the shape cpcorr will accept
input_points_for(:,2)=reshape(input_points_y,[],1);
base_points_for(:,1)=reshape(base_points_x,[],1);
base_points_for(:,2)=reshape(base_points_y,[],1);
input_correl(:,:)=cpcorr(input_points_for, base_points_for, input, base); % here we go and give all the markers and images to process to cpcorr.m which ic a function provided by the matlab image processing toolbox
input_correl_x=input_correl(:,1); % the results we get from cpcorr for the x-direction
input_correl_y=input_correl(:,2); % the results we get from cpcorr for the y-direction
processingtime=toc;
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