01455nas a2200241   4500000000100000008004100001260002500042653001200067653001100079653001200090653001500102653001200117653001700129653000700146653000700153100001500160700001600175245005500191856008000246300001000326520086300336022001401199       2017                            d  bInfogain Publication10aleprosy10alesion10apatches10aDermatitis10aDisease10asegmentation10aMB10aPB1 aAerkewar P1 aAgrawal G H00aImage segmentation to analyze leprosy patch images  uhttp://ijaems.com/upload_images/SITE_SPECIAL_ISSUE_FILE_PATHJIT-017-min.pdf  a82-893 a<p>This paper presents a classification of Leprosy disease &amp; 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.</p>
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