I needed to split a grayscale image in equal parts so I used the function mat2cell
. Then I had to equalize each of the parts separatelly, for this purpose I used the function histeq
. I reused the same cell array variable for this. Here is the code:
height=round(size(img,1)/number_of_divisions);
length=round(size(img,2)/number_of_divisions);
M=zeros(number_of_divisions,1);
N=zeros(1,number_of_divisions);
M(1:number_of_divisions)=height;
N(1:number_of_divisions)=length;
aux=mat2cell(img,M,N);
for i=1:size(aux,1)
for j=1:size(aux,2)
aux{i,j}=histeq(aux{i,j},256);
end
end
So now how do I merge each cell into one single image?
Use cell2mat
img2=cell2mat(aux);
For a better performance, replace your code with blockproc
blocksize=ceil(size(img)./number_of_divisions);
img2=blockproc(img,blocksize,@(block_struct)histeq(block_struct.data));