Melanoma Skin Cancer Detection Based on Skin Lesions Characterization

Abstract

In the last few years, many hospitals and clinics dermatology uses Advanced Computer Vision System based skin lesions characterization for melanoma skin cancer detection of benign skin lesions. Here, we focus malignant melanoma skin cancer,(due to the high concentration of Melanoma-Hier we offer our skin, in the dermis layer of the skin)detection. Reduction in the errorrate of melanoma diagnosis, the very dangerous skin cancer could be treated if detected early is the main focus of the paper. In this we provide a characterization technique used for skin lesions in the last few days ie, ABCD rule Dermoscopy, pattern analysis, analysis of textures, seven point checklist, and Menzies method. We used our ABCD rule Dermoscopy technology for malignant melanoma skin cancer detection.. In this system different step for melanoma skin lesion characterization ie, first the Image Acquisition Technique, preprocessing, segmentation, define feature for skin Feature Selection determines lesion characterization, classification methods. In the Feature extraction by digital image processing method includes, symmetry detection, Border Detection, color, and diameter detection. Of the processing to find features TDV (total dermatoscopic value), we have this value on the basis that melanoma or not.