Didactic Algorithm for Detecting Contours in Mammograms

Abstract

This article aims to present a didactic algorithm for contour detection in mammogram images. The algorithm uses image processing methods and receives an input image from a mammogram exam, returning a filtered output image, with the identification of existing nodules. The algorithm consists of an introductory resource to the field of image processing, and allows familiarization with concepts of the area, and can be improved to a more robust tool using more advanced computational techniques. Images from an academic repository for educational purposes were used, and the output algorithm was able to identify contours in the output image.