Where can I find “Joint class histogram” implementation or algorithm?
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Mohammad Al Nagdawi
le 4 Déc 2016
Commenté : Walter Roberson
le 8 Déc 2016
Image registration and image retrieval depend on image similarity measure to find mutual information between 2 images. Using histogram, joint histogram, and joint class histogram we can find the degree of similarity between those images. Hopefully, I understand and deploy both first techniques. Here, I found joint histogram algorithm and deploy using Matlab .
However, I search for many days to find good paper, book or article regarding joint class histogram but their authors only mention this technique without enough detail. I think this technique still infant and doesn't have enough study yet.
I think joint class histogram algorithm will the best answer for my question.
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Walter Roberson
le 4 Déc 2016
That is a nice answer about how to do the joint histogram in MATLAB that you linked to.
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Walter Roberson
le 4 Déc 2016
Proceed exactly the same way as for the joint histogram, but the inputs should be the class numbers assigned to each pixel rather than the intensities assigned to each pixel.
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Walter Roberson
le 8 Déc 2016
k-means does not even try to make the cluster numbers consistent from run to run. k-means uses random initialization for cluster centers unless you pass in specific initial cluster centers.
It is up to your code to figure out which cluster number corresponds to which shape.
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