Based on Textures Analysis
Fatima Ezzahra Eddaoudi, Fakhita Regragui · 2011
The segmentation of mammograms plays a major role in isolating areas which can be subject to tumors. The identification of these zones is generally done in three stages: pectoral muscle segmentation, hard density zone detection and texture analysis of regions of interest. In this work, we focus on masses detection using SVM classification and textures analysis. As for the first stage, pectoral muscle we use an approach based on contour detection using snakes with an automatic initialization. For the second stage, we use an approach based on maxima thresholding. The region of interesting segmented are classified to normal and abnormal tissue using Haralick features calculated from the cooccurrence