Melanoma Skin Cancer Detection using Image Processing

Abstract

Among the three basic types of skin cancer, viz, Basal Cell Carcinoma (BCC), Squamous Cell Carcinoma (SCC) and Melanoma, Melanoma is the most dangerous in which survival rate is very low. The proposed skin cancer detection technology is broadly divided into four basic components, viz., image preprocessing which includes hair removal, de-noise, sharpening, resize of the given skin image, segmentation which is used for segmenting out the region of interest from the given image. Here we have used Otsu thresholding method. The classification algorithm which are going to be used here are Support Vector Machine(SVM).