Skin lesion image segmentation based on C-means clustering algorithm

Abstract

A skin lesion is an abnormal lump, bump, and ulcer, sore or colored area on the skin. There are many types of skin segmentation. In computer vision, image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known as super-pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. In this ipaper using C-Means Clustering approach for skin lesion image segmentation so that detection and recognition of skin decease will easy to understand by patient and biomedical industries.