We present a novel approach to the segmentation of psoriasis lesions in full body digital photographs potentially involving dozens or even hundreds of separate lesions. Our algorithm first isolates a set of zones that certainly correspond to lesional plaques based on chromatic information, and then expands these zones to achieve an accurate segmentation of plaques through a Geometric Active Contours method. The variability in segmentation between our algorithm and different human operators appears comparable to the variability between human operators. © 2012 IEEE.
Psoriasis segmentation through chromatic regions and Geometric Active Contours
Bogo F.;Samory M.;Belloni Fortina A.;Piaserico S.;
2012
Abstract
We present a novel approach to the segmentation of psoriasis lesions in full body digital photographs potentially involving dozens or even hundreds of separate lesions. Our algorithm first isolates a set of zones that certainly correspond to lesional plaques based on chromatic information, and then expands these zones to achieve an accurate segmentation of plaques through a Geometric Active Contours method. The variability in segmentation between our algorithm and different human operators appears comparable to the variability between human operators. © 2012 IEEE.
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