bzr branch
http://suren.me/webbzr/normxcorr/trunk
2
by Suren A. Chilingaryan
Support for different optimization modes |
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function xyinput = dic_cpcorr(CORRSIZE, PRECISION, OPTIMIZE, hwid, base, xyinput_in, input) |
1
by Suren A. Chilingaryan
Initial import |
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% Copyright 1993-2004 The MathWorks, Inc.
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% $Revision: 1.16.4.4 $ $Date: 2004/10/20 17:54:13 $
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if any(xyinput_in(:)<0.5) || any(xyinput_in(:,1)>size(input,2)+0.5) || ... |
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any(xyinput_in(:,2)>size(input,1)+0.5) |
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msg = sprintf('In function %s, Control Points must be in pixel coordinates.',mfilename); |
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eid = sprintf('Images:%s:cpPointsMustBeInPixCoord',mfilename); |
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error(eid,msg); |
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end
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% get all rectangle coordinates |
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rects_input = dic_calc_rects(xyinput_in, CORRSIZE, input); |
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ncp = size(xyinput_in,1); |
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xyinput = xyinput_in; % initialize adjusted control points matrix |
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for icp = 1:ncp |
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if base(icp).skip |
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% baned by base image (Nan, Inf, Near to edge, ...)
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continue
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end
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if isequal(rects_input(icp,3:4),[0 0]) |
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% near edge, unable to adjust
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continue
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end
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sub_input = imcrop(input,rects_input(icp,:)); |
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inputsize = size(sub_input); |
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% make sure finite
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if any(~isfinite(sub_input(:))) |
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% NaN or Inf, unable to adjust
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continue
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end
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sum_T = sum(sub_input(:)); |
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3
by Suren A. Chilingaryan
Add error checking to initialization process |
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% DS: double is required by 2007+ versions of Matlab for not known reasons
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denom_T = std(double(sub_input(:))); |
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1
by Suren A. Chilingaryan
Initial import |
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% check that template rectangle sub_input has nonzero std
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if denom_T==0 |
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% zero standard deviation of template image, unable to adjust
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continue
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end
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8
by Suren A. Chilingaryan
Complete elimination of cpcorr |
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norm_cross_corr = dic_normxcorr2(OPTIMIZE, hwid, icp, sub_input, base(icp), sum_T, denom_T); |
1
by Suren A. Chilingaryan
Initial import |
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% get subpixel resolution from cross correlation
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subpixel = true; |
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[xpeak, ypeak, amplitude] = findpeak(norm_cross_corr,subpixel); |
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% eliminate any poor correlations
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THRESHOLD = 0.5; |
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if (amplitude < THRESHOLD) |
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% low correlation, unable to adjust
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continue
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end
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% offset found by cross correlation
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corr_offset = [ (xpeak-inputsize(2)-CORRSIZE) (ypeak-inputsize(1)-CORRSIZE) ]; |
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% eliminate any big changes in control points
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ind = find(abs(corr_offset) > (CORRSIZE-1)); |
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if ~isempty(ind) |
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% peak of norxcorr2 not well constrained, unable to adjust
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continue
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end
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input_fractional_offset = xyinput(icp,:) - round(xyinput(icp,:)*PRECISION)/PRECISION; |
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% adjust control point
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xyinput(icp,:) = xyinput(icp,:) - input_fractional_offset - corr_offset + base(icp).base_fractional_offset; |
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end
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