How does the function imsegkmeans compute distance?

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I know imsegkmeans can do color-based clustering but I wonder how it is implemented. Specifically, how does it compte the distance between two pixels in the image? What distance does it use? I tried stepping into the code to see details but found it used an internal function:
images.internal.ocvkmeans(X,k,NumAttempts,MaxIterations,Threshold)
And I couldn't step into the "ocvkmeans" function. Can anyone tell me what distance it uses for distance?
Thanks!

回答(1 个)

Sumukh
Sumukh 2024-11-8,9:02
Kindly refer to the following MATLAB Answer where a staff member has answered that the “imgsegkmeans” and “kmeans” functions use similar algorithms under the hood:
The functionality of “imgsegkemeans” is to cluster the images based on the colour of each pixel of that image. As it uses k-means clustering to achieve this, you can refer to the following documentation where the algorithm for k-means clustering has been explained along with the way the distances are computed and used:
I hope this answers your query.
  6 个评论
Walter Roberson
Walter Roberson 2024-11-10,20:05
The code is very likely doing
Temp = reshape(TheImage, size(TheImage,1)*size(TheImage,2), []);
[IDX, Centers] = kmeans(Temp);
DGM
DGM 2024-11-10,21:31
编辑:DGM 2024-11-10,21:35
It reshapes the data, but it calls ocvkmeans()
[Label,NormCen] = images.internal.ocvkmeans(X,k,NumAttempts,MaxIterations,Threshold);
... which appears to be undocumented. IPT internals grabcut() and algkmeans() appear to be the only things that use it.

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