Incorporating Feature Based Priors into the Geodesic Active Contour Model and its Application in Biomedical Imagery

Huaizhong Zhang, Philip Morrow, Sally Mclean, Kurt Saetzler

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)

3 Citations (Scopus)

Abstract

This paper presents improvements to the geodesic active contour (GAC) model obtained by incorporating user defined prior information into the model itself. Specifically, the stopping function in the GAC model is revised by designing an indicator function derived from a-priori information. The numerical implementation is based on the level set technique. Experimental results illustrate that our approach is efficient and feasible for both artificial and real images. In particular, the proposed method performs well in situations where existing methods are known to fail.
Original languageEnglish
Title of host publicationNot Known
Pages67-74
DOIs
Publication statusE-pub ahead of print - 24 Sep 2007
EventInternational Machine Vision and Image Processing Conference 2007 (IMVIP 2007) - National University of Ireland, Maynooth, Ireland
Duration: 5 Sep 20077 Sep 2007

Conference

ConferenceInternational Machine Vision and Image Processing Conference 2007 (IMVIP 2007)
CountryIreland
CityMaynooth
Period5/09/077/09/07

Cite this

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title = "Incorporating Feature Based Priors into the Geodesic Active Contour Model and its Application in Biomedical Imagery",
abstract = "This paper presents improvements to the geodesic active contour (GAC) model obtained by incorporating user defined prior information into the model itself. Specifically, the stopping function in the GAC model is revised by designing an indicator function derived from a-priori information. The numerical implementation is based on the level set technique. Experimental results illustrate that our approach is efficient and feasible for both artificial and real images. In particular, the proposed method performs well in situations where existing methods are known to fail.",
author = "Huaizhong Zhang and Philip Morrow and Sally Mclean and Kurt Saetzler",
year = "2007",
month = "9",
day = "24",
doi = "10.1109/IMVIP.2007.23",
language = "English",
pages = "67--74",
booktitle = "Not Known",

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Zhang, H, Morrow, P, Mclean, S & Saetzler, K 2007, Incorporating Feature Based Priors into the Geodesic Active Contour Model and its Application in Biomedical Imagery. in Not Known. pp. 67-74, International Machine Vision and Image Processing Conference 2007 (IMVIP 2007), Maynooth, Ireland, 5/09/07. https://doi.org/10.1109/IMVIP.2007.23

Incorporating Feature Based Priors into the Geodesic Active Contour Model and its Application in Biomedical Imagery. / Zhang, Huaizhong; Morrow, Philip; Mclean, Sally; Saetzler, Kurt.

Not Known. 2007. p. 67-74.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)

TY - GEN

T1 - Incorporating Feature Based Priors into the Geodesic Active Contour Model and its Application in Biomedical Imagery

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AU - Mclean, Sally

AU - Saetzler, Kurt

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AB - This paper presents improvements to the geodesic active contour (GAC) model obtained by incorporating user defined prior information into the model itself. Specifically, the stopping function in the GAC model is revised by designing an indicator function derived from a-priori information. The numerical implementation is based on the level set technique. Experimental results illustrate that our approach is efficient and feasible for both artificial and real images. In particular, the proposed method performs well in situations where existing methods are known to fail.

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DO - 10.1109/IMVIP.2007.23

M3 - Conference proceeding (ISBN)

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BT - Not Known

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