Question
I have a set of 2D pictures, I want to only focus on a small blob in the middle while ignoring a sea of NaNs around it If I keep the NaNs, histeq spits out a plain white image. Is there a way to stop NaNs from corrupting the histeq function?
Expert Answer
Prashant Kumar
PhD Expert
Answered Nov 20, 2025
It appears that MATLAB warns you about using histeq on a matrix with NaNs and replaces them to 0.
I would suggest the following if you want to apply histeq only to non-NaN values in a matrix
% Setting up a sample image
% Use im2double as double saves NaN while uint8 converts it to 0
I = im2double(imread('cameraman.tif'));
I(1:100,1:100) = NaN
I(1:256,1:100) = NaN
I(1:256,180:end) = NaN
I(1:100,:) = NaN
I(160:end,:) = NaN
figure, imshow(I)
% Duplicate Matrix
I2 = I;
% Store the output of the contrasted stretched image in I2
I2(~isnan(I2)) = histeq(I2(~isnan(I2)));
figure, imshow(I2)
J = histeq(I) transforms the grayscale image I so that the histogram of the output grayscale image J has 64 bins and is approximately flat.
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