Automatic detection of regions of interest in mammographies based on a combined analysis of texture and histogram

In this article, we present an algorithm that selects regions of interest (ROI) containing a tumour based on the combination of a texture and histogram analysis. The first analysis compares the texture features extracted from different regions in an image to the same features extracted from known tumorous regions. The second analysis detects the ROI with two thresholds computed from the histograms of known tumorous masks.