The results indicate strong performance in a variety of different datasets. The strength of this approach provides a solid platform from which related algorithms may be explored. For example, given the histogram to compare shapes, is it possible to add in a weight for the more relevant features? As Hector stated before, I'm still a little unclear about how a dataset with blurred or textured features would be handled by this algorithm. Maybe weighting more distinct boundries (as opposed to blurry boundries) would increase accuracy in this dataset and additional datasets.