How to calculate the entropy of a grayscale image.
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Hi can you help me to calculate the entropy of a grayscale image using Matlab? Here I've shown below the code that I tried. The code was working but I got the value of the entropy of my image as 'NaN'. So, please help me to find the entropy value of a grayscale image correctly.
I = imread('152.bmp');
x = entropy(I);
%functionH = MyEntropy(x);
imshow(x);
figure()
[Height,Width] = size(x);
[m,Binsx]=imhist(x);
m = m/(Height*Width);
sprintf('the sum of the histogram value is = %g',sum(m));
figure,plot(Binsx,m,'k')
xlabel('pixel value'),ylabel('relative count')
H = sum(-m.*log2(m));
sprintf('the entropy of the image is = %g',H)
7 Comments
Walter Roberson
on 28 Dec 2018
1. Statistics: Standardization of data obtained from different sources at different periods, through peer review or comparison against the objectives of data collection.
Accepted Answer
Miriam
on 23 Nov 2018
Hi Ishara,
It looks like you are trying to find the height, width, and histogram using the entropy value you found. Maybe try:
[Height,Width] = size(I);
[m,Binsx] = imhist(I);
3 Comments
Miriam
on 25 Nov 2018
I'm not sure I understand. The entropy of your image is a single number, what do you want to plot?
Image Analyst
on 25 Nov 2018
There is an entropyfilt() that finds the entropy in a sliding window. Why do you think you want entropy anyway? What's the use case?
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