Region-aided geodesic active contour model for image segmentation

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
Pages318-321
Number of pages4
DOIs
StatePublished - 2010
Event2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010 - Chengdu, China
Duration: 9 Jul 201011 Jul 2010

Publication series

NameProceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
Volume1

Conference

Conference2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
Country/TerritoryChina
CityChengdu
Period9/07/1011/07/10

Keywords

  • Active contour model
  • Geodesic active contour
  • Image segmentation
  • Level set method

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