Haralik features : Maximal Correlation Coefficient
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Hend Abouche
am 10 Apr. 2022
Bearbeitet: Serhat Yesilkoy
am 14 Dez. 2022
Hi Guys, I am working on haralik features and so far I managed to find all the 13 features except for Maximal Correlation Coefficient, that should be calculated as:
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/958805/image.png)
I've already define the px and py:
p_x(i,k) = p_x(i,k) + glcm(i,j,k);
p_y(i,k) = p_y(i,k) + glcm(j,i,k);
p(i,j)=glcm(i,j,k)
I ahve 4 offsets
thank u in advance for ur comments
2 Kommentare
Image Analyst
am 10 Apr. 2022
What are Q, p, px, and py? Which is your image? How did you get the glcm array? How does your equation compute Q(i, j)?
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Image Analyst
am 10 Apr. 2022
You need to have 3 nested loops. The outer one would be over j (columns). The middle one would be over i (rows). The innermost one would be over k.
[rows, columns] = size(p)
for j = 1 : columns
for i = 1 : rows
numerator = 0;
denominator = 0;
for k = 1 : columns
numerator = numerator + p(i, k) * p(j, k);
denominator = denominator + px(i) * py(k);
end
Q(i, j) = sum(numerator / denominator);
end
end
4 Kommentare
Serhat Yesilkoy
am 14 Dez. 2022
Bearbeitet: Serhat Yesilkoy
am 14 Dez. 2022
hi,I didn't understand the part of how the marginal probability functions px and py are defined.Unrecognized function or variable 'px'.Unrecognized function or variable 'px'. I am facing the problem.
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