Clustering of an image by taking into account the spatial context of each pixel (besides its intensity)

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.