<p dir="ltr">Hi Hakim </p>
<p dir="ltr">Are you looking for a metric? Perhaps consider structural similarity index. </p>
<p dir="ltr">Regards <br>
Stéfan </p>
<div class="gmail_quote">On Nov 20, 2015 22:20, "Hakim Benoudjit" <<a href="mailto:h.benoudjit@gmail.com">h.benoudjit@gmail.com</a>> wrote:<br type="attribution"><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Hi,<br><br>Is there a clustering algorithm implemented in <i>scikit-image </i>that perform the image clustering by taking into account the <i>spatial context </i>of the clustered pixel (its neighbourhood), besides its <i>pixel brightness</i>?<br><br>For the time being, I'm clustering images by reshaping them as vectors of pixels intensities distributions, and then performing the <i>K-means </i>or <i>Gaussian mixture models</i> implemented in <i>scikit-learn</i>. But, I'm looking for a image clustering technique implemented (or could be implemented) in <i>scikit-image </i>that would consider the neighbourhood of a pixel when classifying it.<br><br>Thanks.<br></div>
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