M.A. Thesis:

provides an intelligent method for diangnosing psoriasis

Medical image processing is one of attractive applications of digital image processing for researchers.This thesis has also applied medical image processing to diagnose Psoriasis.Psoriasis is a skin disorder that includes seven different states by the names of plaque, pustular, erythrodermic, reverse, spotted, arthritis and nail.this thesis is accomplished using decision tree algorithm,one of the favorite algorithms of data analysis,along with various features extracted from images.this thesis consists of two stages: the diagnosis of healthy skin from the patient in the first stage and detecting different types of disease in the second stage.According to apparent difference of two states of this disease namely arthritis and nail states,these two states are surveyed separately. diagnosis precision obtained for the first stage namely detecting healthy skin from the patient is 96% and in the second stage or diagnosing five disease states is 75% and for the arthritis and nail are 69% and 68% respectively.So, this system can provide significant assistance to patients.

Keywords: image processing, medical image processing, Psoriasis disease, decision tree algorithm