Image segmentation based on geodesic aided Chan-Vese model

Thi Thao Tran, Van Truong Pham, Yun Jen Chiu, Kuo Kai Shyu

研究成果: 書貢獻/報告類型會議論文篇章同行評審

7 引文 斯高帕斯(Scopus)

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.

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主出版物標題Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
頁面315-317
頁數3
DOIs
出版狀態已出版 - 2010
事件2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010 - Chengdu, China
持續時間: 9 7月 201011 7月 2010

出版系列

名字Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
1

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???event.eventtypes.event.conference???2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
國家/地區China
城市Chengdu
期間9/07/1011/07/10

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