Prashant Kumar answered . 2024-04-21 08:08:20

% Sample histology images

im1=imread('https://www.mathworks.com/matlabcentral/answers/uploaded_files/124273/1.jpg');
im2=imread('https://www.mathworks.com/matlabcentral/answers/uploaded_files/124274/2.jpg');

% Register im2 to im1 using 'pairwise_histology_registration' function. 
% In medical image processing jargon, im1 is called a reference image, and 
% im2 a source image. Whether im1 or im2 is designated as a reference is 
% not important. See function documentation for additional info.

[im_reg,T,RMSE,SD]=pairwise_histology_registration(im1,im2);

In this example, a total of 1351 corresponding point pairs were detected and aligned with accuracy of 0.5 pixels using a rigid transformation model; top 200 strongest matches shown in green. The function also supports similarity and affine transformation models. All relevant info about corresponding point sets detected by the function is contained in the structure represented by the 'SD' variable.

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