Automatic detection of breast lesions in mammograms images with features extraction using Otsu's method

A mammogram is the best option for early detection of breast cancer, Computer Aided Diagnostic systems(CADs) developed in order to improve the diagnosis of mammograms. This paper presents a proposed method to automatic images segmentation depending on the Otsu's method in order to detect microcalcifications and mass lesions in mammogram images. The proposed technique is based on three steps: (a) region of interest (ROI), (b) 2D wavelet transformation, and (c) OTSU thresholding application on ROI. The method tested on standard mini- MIAS database. It implemented within MATLAB software environment. Experimental results and performance evaluate results show that the proposed detection algorithm is a tool to help improve the diagnostic performance, and has the possibility and the ability to detect the breast lesions.