The normalized cross-correlation is applied to image registration, and the similarity of two images is judged by cross-correlation. The greater the similarity, the more accurate the registration result is.

NccStitching\BrightAdjust.m
NccStitching\BrightAdjustGlobal.m
NccStitching\downSample.m
NccStitching\downSample2.asv
NccStitching\downSample2.m
NccStitching\FuncImageStitching.m
NccStitching\FuncSobelStitching.m
NccStitching\GradDescent3.asv
NccStitching\GradDescent3.m
NccStitching\I1 = downSample(I1);.m
NccStitching\NccTemplateMatching.asv
NccStitching\NccTemplateMatching.m
NccStitching\NccTemplateMatching2.m
NccStitching\result.m
NccStitching\rotateImage2D.m
NccStitching\StitchingTest.m
NccStitching\TemplateMatching.m
NccStitching\TemplateMatchingStitchingTest.asv
NccStitching\TemplateMatchingStitchingTest.m
NccStitching

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