Image Segmentation based on Geodesic aided Chan-Vese Model

被引：4

作者：

Thi-Thao Tran ^{[1
]}

Van-Truong Pham ^{[1
]}

Chiu, Yun-Jen ^{[1
]}

Shyu, Kuo-Kai ^{[1
]}

机构：

[1] Natl Cent Univ, Dept Elect Engn, Chungli 320, Taiwan

来源：

PROCEEDINGS 2010 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, (ICCSIT 2010), VOL 1 | 2010年

关键词：

Image Segmentation; Active Contour; Level Set Method; Chan-Vese Model; Geodesic Active Contour model; ACTIVE CONTOURS; TEXTURE; MUMFORD;

D O I：

10.1109/ICCSIT.2010.5563751

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, a novel model for intensity inhomogeneous image segmentation is proposed. The proposed model uses the local information of the image to be segmented; concurrently, it incorporates the geodesic active contour (GAC) model into Chan-Vese (C-V) model in energy function. Thus, the proposed model is effective when dealing with intensity inhomogeneous images. Practical experiments prove that the proposed model can obtain exact segmented results, especially with the intensity inhomogeneous images even with hole, noise and complex background.

引用

页码：315 / 317

页数：3

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