DocumentCode :
2136506
Title :
Segmentation of the breast region in mammograms using marker-controlled watershed transform
Author :
Pei, Chengdan ; Wang, Chunmei ; Xu, Shengzhou
Author_Institution :
School of industry and merchandise, South-Central University for Nationalities, Wuhan 430065, China
fYear :
2010
fDate :
4-6 Dec. 2010
Firstpage :
2371
Lastpage :
2374
Abstract :
Extraction of breast contour is a crucial first step in computer aided diagnosis of mammograms. It has the advantage of allowing the search for abnormalities to be limited to the region of the breast without undue influence from the background and also provides a reference for the alignment of views when two views are being compared. Breast region segmentation is difficult because of the tapering nature of the breast. This paper presents a marker-controlled watershed method for breast region segmentation on mammograms. It mainly consists of computation of the segmentation function and the internal and external markers. The segmentation function is determined on the smoothed morphological gradient image by morphological reconstruction, and markers are determined on basis of a developed Otsu method. Results are evaluated by comparison with manual borders drawn by radiologist for a set of 120 mammograms, comparing with other three segmentation methods. The mean ± std of the values of the area overlap metric for our method is 0.93 ± 0.03. The experimental results indicate that the breast regions extracted by our method accurately characterize the corresponding ground truth images.
Keywords :
Area measurement; Breast; Image segmentation; Iterative algorithm; Iterative methods; Mammography; Pixel; breast region; mammograms; marker-controlled watershed; segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
Type :
conf
DOI :
10.1109/ICISE.2010.5690735
Filename :
5690735
Link To Document :
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