Classical Clustering Technique for Segmentation of Skin Cancer Image

Abstract

-Numerous kinds of skin disease exist now-a-days. Melanoma is the sort skin malignancy which has expands most of death rate. The early recognition and mediation of melanoma involve higher changes of fix. Melanoma is identified by shape, size, shading and surface of the skin injury of melanoma in the early days.This paper demonstrates how the classical clustering method namely K-Means is performed in this skin melanoma image. This method segregates this melanoma image successfully. The performance of this method is evaluated in terms of pixel clustered and time complexity.