Novel convex active contour model using local and global information

Quang Tung Thieu, Marie Luong, Jean Marie Rocchisani, Emmanuel Viennet, Dat Tran

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper, we propose a novel region-based active contour model for image segmentation. Our model incorporates the global and local information in the energy function, enabling efficient segmentation of images while accounting for intensity in homogeneity. Another interesting property of the proposed model is its convexity, making it independent of the initial condition and hence ideal for an automatic segmentation. Furthermore, the energy function of the proposed model is minimized in a computationally efficient way by using the Chambolle method. Experimental results on natural and medical images demonstrate the performance of our model over the current state-of-the-art.

Original languageEnglish
Title of host publicationProceedings - 2011 International Conference on Digital Image Computing
Subtitle of host publicationTechniques and Applications, DICTA 2011
EditorsPaul Jackway, Murk Bottema
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages346-351
Number of pages6
ISBN (Print)9780769545882
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011 - Noosa, QLD, Australia
Duration: 6 Dec 20118 Dec 2011

Publication series

NameProceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011

Conference

Conference2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011
CountryAustralia
CityNoosa, QLD
Period6/12/118/12/11

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