DocumentCode :
2258827
Title :
A New Contour Detection in Mammogram Using Sequential Edge Linking
Author :
Liu Wei ; Liang Yong sheng ; Ren Xian Yi ; Duan Peng
Author_Institution :
ShenZhen Inst. of Inf. Technol., Shenzhen
Volume :
1
fYear :
2008
fDate :
20-22 Dec. 2008
Firstpage :
197
Lastpage :
200
Abstract :
A novel approach is presented to extract the contour of a region of interest (ROI) in mammogram. It combines the threshold segmentation method and sequential edge linking (SEL) algorithm. The salient area is located according to human visual characteristics, and then the optimal threshold is obtained and applied to the whole image. The binary image is processed by the SEL algorithm. Experiments show that the proposed method offers excellent ability to suppress noise and false edges. It can extract the precise and continuous contour of an ROI in mammogram.
Keywords :
edge detection; feature extraction; image denoising; image segmentation; image sequences; mammography; medical image processing; binary image; contour detection; human visual characteristics; mammogram; region of interest; sequential edge linking; threshold segmentation method; Biomedical imaging; Breast; Data mining; Deformable models; Humans; Image edge detection; Image segmentation; Information technology; Joining processes; Visual system; ROI; Sequential Edge Linking; contour; human visual system; threshold segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
Type :
conf
DOI :
10.1109/IITA.2008.410
Filename :
4739563
Link To Document :
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