Image segmentation to analyze leprosy patch images
This paper presents a classification of Leprosy disease & lesions which can be process through image segmentation technique and can be analyze and study segmentation properties of skin lesions occurs in dermatitis disease. A skin lesion in Leprosy is a superficial growth or patch of the skin that does not resemble the area surrounding it. It have also been proposed that which are suitable for the processing of various images for different types of patches for Leprosy skin diseases. The focus is on Leprosy which can be classify using Edge based, region growing, and K-means clustering methods. This review the original ideas and concepts of the above methods, because we believe this information to be important for judging when and under what circumstances a segmentation algorithm can be expected to work properly for analysis of Leprosy.