Apply adaptive histogram equalization at the bottom part of the image

Hi. I have a set of 2000 tif images of size 1024 X 1024 pixels in a folder and I want to apply histogram equalization only at the bottom part of the image. Say from y = 800 px to y = 1024 px, and make the rest (top part) of the image black. How can I incorporate this in the below code?

% Location of the original files
d = 'D:\Raw_Images\';

% Location of the new files
drive1='D:\New Imagews\';


for i=1:2000
    num=sprintf('%03.0f\n',i);
    name=strcat(d,'B_',num,'.tif');
    I=imread(name);
    J=adapthisteq(I,'NumTiles',[8 8],'clipLimit',0.1,'Distribution','uniform');
  
   imwrite(J,strcat(drive1,'B_',num,'.tif'),'Compression','none');
 
end

Answer 1

[DGM]

Something like this.

inpict=imread('someparticularimage.tiff');

tophalf=zeros([799 size(inpict,2) size(inpict,3)],class(inpict));
bothalf=inpict(800:end,:,:);
for c=1:size(inpict,3)
	bothalf(:,:,c)=adapthisteq(bothalf(:,:,c),allmyfavoriteargumentsgohere);
end
outpict=cat(1,tophalf,bothalf);

This assumes the images may be color. If you can be assured that they are all single-channel images, the loop would be unnecessary.

[SS]

Hi, thanks for your reply. It worked well.