Automatic Detection and Segmentation of Skin Melanoma Images- An Introduction

elanoma is a cancerous lesion in the pigment-bearing basal layers of the epidermis and is the most deadly form of skin cancer, yet it is also the most treatable, with a cure rate for early-stage melanoma of almost 100%. Therefore, there is a need to develop computer-aided diagnostic systems to facilitate the early detection of melanoma. The first step in these systems is skin lesion segmentation. The next essential step is feature extraction and pattern analysis procedures to make a diagnosis. According to the literature, pigment network or reticular pattern is an important diagnostic parameter for melanoma. We decided to work on this automatic melanoma detection system. In this paper, an introduction is given about different characteristics of the melanoma cancer images and a brief review has been present in which different features of melanoma have been discussed. Finally a survey has been given which carry out the analysis of melanoma images by different methods.