Severity Index Evaluation using Automatic Region of Interest Segmentation

摘要

Psoriasis Area and Severity Index (PASI) is currently a standard approach to quantity severity of psoriasis. In this paper, we report an automatic region of interest (ROI) segmentation algorithm that can objectively measure the PASI score. The color space analysis is applied and K-mean clustering is used to separate the background from the skin region to segment the ROI from the normal skin. The experimental results using ten skin photo samples showed that the proposed method has low complexity and is practical to precisely detect the psoriasis area.