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)peer-review

3 Citations (Scopus)


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
Publication statusE-pub ahead of print - 24 Sept 2007
EventInternational Machine Vision and Image Processing Conference 2007 (IMVIP 2007) - National University of Ireland, Maynooth, Ireland
Duration: 5 Sept 20077 Sept 2007


ConferenceInternational Machine Vision and Image Processing Conference 2007 (IMVIP 2007)

Cite this