Approximate Entropy Calculation for an Image

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Thorsten
Thorsten am 29 Jun. 2015

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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

3 Kommentare

shishir
shishir am 29 Jun. 2015
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,
Marcus Tan
Marcus Tan am 25 Jul. 2021
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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Maria da Luz
Maria da Luz am 29 Apr. 2024

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

Gefragt:

am 29 Jun. 2015

Beantwortet:

am 29 Apr. 2024

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