Anaisha asked . 2020-07-15

How can I get the histeq function to ignore NaN values?

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?

matlab , image processing

Expert Answer

Prashant Kumar answered . 2024-12-21 00:52:15

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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