How to calculate the entropy of a grayscale image.
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Ishara Nipuni
am 23 Nov. 2018
Kommentiert: Walter Roberson
am 28 Dez. 2018
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 Kommentare
Walter Roberson
am 28 Dez. 2018
1. Statistics: Standardization of data obtained from different sources at different periods, through peer review or comparison against the objectives of data collection.
Akzeptierte Antwort
Miriam
am 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 Kommentare
Miriam
am 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
am 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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