Region-aided geodesic active contour model for image segmentation

Van Truong Pham, Thi Thao Tran, 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 algorithm for image segmentation is proposed. The presented method embeds the Geodesic Active Contour (GAC) model into the region based method. The proposed model adds a term that relates the region information of image to be segmented to the energy function of Geodesic Active Contour model. As a result, a new energy function is established. This method therefore includes both the edge and region information of the object instead of only the edge information as that in the original GAC model. Experimental results demonstrate that the proposed region aided GAC method is much more effective than the original one, especially when dealing with images with holes, weak edges and noises.

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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318-321
頁數4
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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