Approximate Entropy Calculation for an Image

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function E = entropy(I)
% Assume I in the range 0..1
p = hist(I(:), linspace(0,1,256)); % create histogram
p(p==0) = []; % remove zero entries that would cause log2 to return NaN
p = p/numel(I); % normalize histogram to unity
E = -sum(p.*log2(p)); % entropy definition

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This is for computing the ENTROPY. But I want to compute SAMPLE ENTROPY and APPROXIMATE ENTROPY of an IMAGE.
So if you give me something regarding the described entropies, it would be great help.
Thank You Sir,
Can someone guide me also how to calculate the approximate entropy of an Spectrogram image transformed from EEG signal? I have seen number of file exchange but none of them work.

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Como recortar a região de interrese dessa imagem que neste caso é a mandibula.só a parte branca

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