Title :
Incorporating Feature Based Priors into the Geodesic Active Contour Model and its Application in Biomedical Imagery
Author :
Zhang, Huaizhong ; Morrow, Philip ; Mcclean, Sally ; Saetzler, Kurt
Author_Institution :
Univ. of Ulster, Coleraine
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.
Keywords :
medical image processing; biomedical imagery; feature based priors; geodesic active contour model; indicator function; numerical implementation; user defined prior information; Active contours; Biomedical imaging; Data mining; Electron microscopy; Image analysis; Image processing; Image segmentation; Level set; Organisms; Solid modeling;
Conference_Titel :
Machine Vision and Image Processing Conference, 2007. IMVIP 2007. International
Conference_Location :
Kildare
Print_ISBN :
978-0-7695-2887-8
DOI :
10.1109/IMVIP.2007.23