title: Features from local binary pattern histogram?
body: <p>I'm trying to determine a correlation amongst some texture samples based on their LBP histograms. Most literature I've been able to find on the subject discusses measuring distances between pairs of histograms (such as Euclidean distance), essentially treating each of the N values of the histogram as a separate feature and trying to cluster within N dimensional space. </p>
  
  <p>I would prefer not to treat each value as a separate feature, as I'd like to combine my data with other texture features before my analysis. I'm wondering if there is a non-comparative feature which I could extract from the histograms instead.</p>