Despite the fact that these types of skin diseases can be cured at present, these diseases indeed have brought trouble to patients’ life. Currently, there are three main types of skin diseases appearing in human body, including viral skin diseases, fungal skin diseases, and allergic skin disease. In spite of defense and barrier function, skin is not indestructible in that skin tends to be constantly influenced by a variety of external and genetic factors. Besides, skin can also avoid the loss of lipids together with water within epidermis and dermis so that skin barrier function can be stabilized. Covering the entire body, the skin can protect multiple tissues and organs in the body from external invasions including artificial skin damage, chemical damage, adventitious viruses, and individuals’ immune system. IntroductionĬomposed of epidermis, dermis, and subcutaneous tissues, skin is the largest organ of human body, containing blood vessels, lymphatic vessels, nerves, and muscles, which can perspire, perceive the external temperature, and protect the body. The experimental results demonstrate the effectiveness and feasibility of the proposed method.
Finally, by using the support vector machine (SVM) classification method, three types of skin diseases were identified. The texture and color features of different skin disease images could be obtained accurately. Then the method of grey-level co-occurrence matrix (GLCM) was introduced to segment images of skin disease. Initially, skin images were preprocessed to remove noise and irrelevant background by filtering and transformation. In this paper, three type skin diseases such as herpes, dermatitis, and psoriasis skin disease could be identified by a new recognition method. It is necessary to develop automatic methods in order to increase the accuracy of diagnosis for multitype skin diseases. Current research proposes an efficient approach to identify singular type of skin diseases. Skin diseases have a serious impact on people’s life and health.
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