A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional-Reference-Cited by-同舟云学术

A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional

Published:2006-03-01 Issue:2 Volume:68 Page:145-162
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vision

Author:

Bresson Xavier,Vandergheynst Pierre,Thiran Jean-Philippe

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/s11263-006-6658-x.pdf

Reference42 articles.

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3. Biswal, B.B. and Hyde, J.S. 1997. Contour-based registration technique to differentiate between task-activated and head motion-induced signal variations in fMRI. Magnetic Resonance in Medecine, 38(3):470–476.

4. Bresson, X., Vandergheynst, P., and Thiran, J. 2004. A variational model for object segmentation using boundary information, statistical shape prior and the Mumford-Shah functional, ITS technical report 08.04, Signal Processing Institute, Swiss Federal Institute of Technology, Lausanne, Switzerland, http://itswww.epfl.ch .

5. Bresson, X., Vandergheynst, P., and Thiran, J.P. 2003. A priori information in image segmentation: Energy functional based on shape statistical model and image information. In IEEE International Conference on Image Processing, pp. 425–428.

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