Abstract

In this paper a two-class classification problem is faced. One class is constituted by tumoral masses, breast tumors with size ranging from 3 mm to 30 mm. The other class is constituted by non-masses. A Support Vector Machine (SVM) is used as a classifier. Both, masses and non-masses, are extracted from the University of South Florida (USF) mammographic image database and are presented to the classifier as crops with pixel size 64 x 64. In order to find the optimal solution to this problem, different featureless crops representations are evaluated. In particular, a pixel-based representation, a Discrete Wavelet Transform (DWT) representation and an Overcomplete Wavelet Transform (OWT) representation are tested.