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