SKIN DISEASE DETECTION USING IMAGE PROCESSING WITH SVM

Abstract

Skin diseases are hazardous and often contagious, especially melanoma, eczema, and impetigo. These skin diseases can be cured if detected early. The fundamental problem with it is, only an expert dermatologist is able to detect and classify such disease. Sometimes, the doctors also fail to correctly classify the disease and hence provide inappropriate medications to the patient. Our system proposes a skin disease detection method based on Image Processing and Machine Learning Techniques. The patient needs to provide the image of the infected area and it is given as an input to the application. Initially, images were preprocessed to remove noise and irrelevant background by filtering and transformation. The method of grey-level co-occurrence matrix (GLCM) was introduced to segment images of disease. Texture and color features of different disease images could be obtained accurately.