DETECTION OF SKIN DIASEASE USING CURVLETS

In this paper, we have proposed an algorithmic model for automatic classification of skin disease using Curvelet filter along with the k-nn classifier. The proposed algorithmic model is based on textural features such as curvelet filter responses. A skin disease is segmented using a Marker-Controlled Watershed Segmentation method. The dataset has different skin diseases with similar appearance (small inter class variations) across different classes and varying appearance (large intra class variations) within a class. Also, the images of diseases are of different pose with cluttered background.