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Proceedings Paper

Digital mammogram edge enhancement and segmentation
Author(s): Alberto Rocha; Fu Tong; Zhuangzhi Yan
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Paper Abstract

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.

Paper Details

Date Published: 25 September 1998
PDF: 4 pages
Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323603
Show Author Affiliations
Alberto Rocha, Shanghai Univ. (China)
Fu Tong, Shanghai Univ. (China)
Zhuangzhi Yan, Shanghai Univ. (China)


Published in SPIE Proceedings Vol. 3545:
International Symposium on Multispectral Image Processing (ISMIP'98)
Ji Zhou; Anil K. Jain; Tianxu Zhang; Yaoting Zhu; Mingyue Ding; Jianguo Liu, Editor(s)

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