Segmentation of Skin in dermatoscopic images using SuperPixels combined with Complex Networks

Abstract

Studies of complex networks have been an important topic of interest to many researchers, in part due to its potential for a simple representation of complex systems in various fields of science. This work aims to develop and study some methods used for the characterization of complex networks. Thus, a new approach to the dermatoscopic image analysis that combines extraction of superpixels and detection of communities of a complex network is expected to be developed. To reduce the computational cost, a SLIC preprocessing algorithm will be used to group several pixels of the image into a uniform region (superpixels), which will decrease the size of the network and, consequently, minimize the computational cost of the cluster.