An MS-ROI based Detection and Segmentation of Erythemato-Squamous Disease

Skins are the biggest part of the human body. It plays a vital role in our body. It regulates body temperature, sensing from touching heat and cold. However, there are a number of risks that affect the skin, one of which is a disease. Fungus, bacteria, allergies, enzymes, and viruses cause most skin diseases. Identify the disease on the basis of manual feature extractions or based on the symptoms is time-consuming and requires extensive knowledge for perfect identification. Diagnosing, detection, and classification of skin diseases are done by researchers previously. However, the recognition rate is still not enough and is dependent on feature selection, filtering, and segmentation methods. We also apply median filtering to remove noise and balance the intensity of the image. In segmentation, a lot of methods are available. So that this research mainly focuses on finding the best or new segmentation method for Erythemato-Squamous disease (ESD).