A New Automatic Approach for Edge Detection of Skin Lesion Images

The ultimate aim of this work is to provide an automatic detection of melanoma skin lesion images using a computer-aided diagnosis (CAD) system. This work presents the different steps of such a process. We detail in this paper the segmentation step by describing the different used methods in the literature and propose a hybrid approach that can be integrated in our system. We use three different methods of automatic segmentation based on thresholding, morphology functions and active contours (Snakes). We evaluate our work on different cases of color skin lesion images from digitized slides data base selected by expert dermatologists from the hospital "CHU de Rouen " France