Automatic Segmentation of Psoriasts Images Using Neuro-Fuzzy Techniques

Abstract

In this paper, we develop an automatic method for psoriasis image segmentation using neuro-fuzzy techniques, which can be used in an therapy evaluation system. Since the psoriasis is a chronic disease, it is important to track the condition of the patient to select proper treatment. The psoriasis images are segmented into normal skin regions and abnormal regions automatically. The areas of each kind of regions of a patient at different moments can then be estimated. This information can be used to give a quantitative measure of the progress of the treatment. The provided information can avoid the variation of the human factor in the evaluation procedure and can offer a objective index for the doctor to select the most suitable treatment for the patient.