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