Hi Stéfan, Thanks for your reponse. What I'm looking for is a *spatial criteria* that encourages the *clustering algorithm* (K-means or others) to group together similar *neighbouring pixels* inside the same cluster. This will help avoid having persistent noise inside a cluster. Le vendredi 20 novembre 2015 13:20:15 UTC, Hakim Benoudjit a écrit :
Hi,
Is there a clustering algorithm implemented in *scikit-image *that perform the image clustering by taking into account the *spatial context *of the clustered pixel (its neighbourhood), besides its *pixel brightness*?
For the time being, I'm clustering images by reshaping them as vectors of pixels intensities distributions, and then performing the *K-means *or *Gaussian mixture models* implemented in *scikit-learn*. But, I'm looking for a image clustering technique implemented (or could be implemented) in *scikit-image *that would consider the neighbourhood of a pixel when classifying it.
Thanks.