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A priori information in image segmentation: energy functional based on shape statistical model and image information

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3 Author(s)
Bresson, X. ; Signal Process. Inst., Swiss Fed. Inst. of Technol., Lausanne, Switzerland ; Vandergheynst, P. ; Thiran, J.

In this paper, we propose an energy functional to segment objects whose global shape is a priori known thanks to a statistical model. Our work aims at extending the variational approach of Chen et al. [Y. Chen, et al., 2002] by integrating the statistical shape model of Leventon et al. [M. Leventon, et al., 2000]. The proposed energy functional allows us to capture an object that exhibits high image gradients and a shape compatible with the statistical model which best fits the segmented object. The minimization of the functional provides a system of coupled equations whose steady-state solution is the solution of the segmentation problem. Results are presented on synthetic and medical images.

Published in:

Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on  (Volume:3 )

Date of Conference:

14-17 Sept. 2003

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