MATLAB: What is the meaning of k means clustering of an image

Question

I am doing a proj. on classifying faults using SVM. People advised me to use k-means for segmenting the images. I understand k-means for a normal data set but I don't quite understand the meaning when it comes to applying it for an image. Some brief explanation would help me.

Answer 1

k-means can be applied to the image intensities, in order to find groups of similar image intensities. Instead of having to put specific numbers to the boundary between groups of intensities, you can say "break it into the best 3 groups" for example.