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

Zhang, Huaizhong, Morrow, Philip, Mclean, Sally and Saetzler, Kurt (2007) Incorporating Feature Based Priors into the Geodesic Active Contour Model and its Application in Biomedical Imagery. International Machine Vision and Image Processing Conference 2007 (IMVIP 2007), 05/09/2007-07/09/2007, NUI Maynooth, Ireland., pp. 67-74, DOI https://doi.org/10.1109/IMVIP.2007.23.

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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.

Item Type: Conference or Workshop Item (Proceedings)
Subjects: T Technology > T Technology (General)
Divisions: Computing and Information Systems
Date Deposited: 27 Feb 2017 14:15
URI: http://repository.edgehill.ac.uk/id/eprint/8753

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