Digital mammogram edge enhancement and segmentation
Alberto Rocha, Tong Fu, Zhuangzhi Yan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1998
Diagnostic features in mammograms vary widely in size and shape. They are of low contrast, and pathological features in mammograms are often vague and very hard to discriminate. This paper presents a novel approach for segmentation of suspicious mass regions in digitized mammograms, using logic filters. First we enhance the edges of suspicious region in mammogram using one kind of logic filter. The image result gives us a special behavior on the gray level histogram, which facilitates the segmentation of the suspicious mass. The performance of our method is shown using 25 digital mammogram images. A comparison with other methods is also given briefly.