MAMMOGRAPHY IMAGE SEGMENTATION IN BREAST CANCER IDENTIFICATION USING THE OTSU METHOD

Abstract

Exact medical image segmentation is the first step in assisting medical experts in determining diseases. The desired information from the segmented image helps in diagnosis and treatment planning. Nowadays, some cancer types can be detected by using medical images such as mammograms, computer tomography images, and others. Mammography has become the most effective method for the early detection of breast cancer. A mammogram is a difficult image to interpret with unwanted parts in the background. Hence, a preprocessing phase is very important to standardize and enhance the quality of the image for a CAD system. Binarization based on Otsu’s threshold is a main part of all preprocessing steps. Otsu’s thresholding method is analyzed and reviewed in this paper.