2007 IEEE International Conference on Image Processing - San Antonio, Texas, U.S.A. - September 16-19, 2007

Technical Program

Paper Detail

Paper:MA-P2.12
Session:Active-Contour, Level-Set, and Cluster-Based Segmentation Methods
Time:Monday, September 17, 09:50 - 12:30
Presentation: Poster
Title: DEFORMABLE SHAPE PRIORS IN CHAN-VESE SEGMENTATION OF IMAGE SEQUENCES
Authors: Ketut Fundana; Malmo University 
 Niels Chr. Overgaard; Malmo University 
 Anders Heyden; Malmo University 
Abstract: In this paper we propose a new method for variational segmentation of image sequences containing nonrigid, moving objects. The method is based on the Chan-Vese model augmented with a novel frame-to-frame interaction term, which allow us to update the segmentation result from one image frame to the next using the previous segmentation result as a shape prior. The interaction term is constructed to be pose-invariant and to allow moderate deformations in shape. It can handle the appearance of occlusions which otherwise can make segmentation fail. The performance of the model is illustrated with experiments on synthetic and real image sequences.



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