Classification of Human Skin Diseases using Data Mining

Many Information can be extracted from the data that are hidden in images. The extraction process can be done using data mining techniques. In this paper, the researcher will use a system based on the decision tree for mining and processing image data. This system will be used for classification of human skin diseases. The researcher will try to use the decision tree and digital image processing principals to detect skin diseases using some features found in a digital image for a skin. The major steps involved in the system are: pre-processing, features extraction and decision tree classifier. This system enhances the classification process to be more accurate. The physicians can make use of this accurate decision tree classification phase for classifying the skin images. The system is designed and implemented on MATLAB and is tested with the images of various databases.