Clustering of an image by taking into account the spatial context of each pixel (besides its intensity)
Stéfan van der Walt
stefanv at berkeley.edu
Fri Nov 20 18:20:02 EST 2015
Are you looking for a metric? Perhaps consider structural similarity index.
On Nov 20, 2015 22:20, "Hakim Benoudjit" <h.benoudjit at gmail.com> wrote:
> 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.
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