Shape priors for level set representations

Details Shape priors for level set representations Shape priors for level set representations

2007-02-13

2007-02-13

Johns, Andrew W. (Department: 2624)

Image analysis

Image segmentation

C382S203000

Reexamination Certificate

active

10356093

ABSTRACT:
This invention relates to shape priors for level set representations. An embodiment of the invention comprises a first stage and a second stage. In the first stage, a shape model can be built directly on level set space using a collection of samples. The shape model can be constructed using a variational framework to create a non-stationary pixel-wise model that accounts for shape variabilities. Then, in the second stage, the shape model can be used as basis to introduce the shape prior in an energetic form. In terms of level set representations, the shape prior aims at minimizing non-stationary distance between the evolving interface and the shape model. An embodiment according to the present invention can be integrated with an existing, data-driven variational method to perform image segmentation for physically corrupted and incomplete data.

REFERENCES:
patent: 6031935 (2000-02-01), Kimmel
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Adalsteinsson et al., “A Fast Level Set Method for Propagating Interferences,”Journal of Computational Physics, vol. 118, 1995, pp. 269-277.
Yunmei Chen et al: On the incorporation of shape priors into geometric active contours Proceedings IEEE Workshop on Variational and Level Set Methods in Computer Vision, Proceedings of 1stIEEE Workshop on Computer Vision, Nancouver, BC Canada, Jul. 13, 2001, pp. 145-152, XP002240267 2001, Los Alamitos, CA, USA, IEEE Computer Soc, USA ISBN: 0-7695-1278-X the whole document.
Samson C et al: Ä level set model for image classification: Scale-Space Theories in Computer Vision, Second International Conference, Scale-Space '99. Proceedings, Corfu, Greece, Sep. 26-27, 1999, Lecture Notes in Computer Science vol. 1682, pp. 306-317, XP009010364 1999, Berlin, Germany, Springer-Verlag, Germany ISBN: 3-540-66498-X abstract section 3.
Yahia H M et al: “Segmentation of deformable templates with level sets characterized by particle systems” Pattern Recognition, 1998, Proceedings. Fourteenth International Conference on Brisbane, Old., Australia Aug. 16-20, 1998, Los Alamitos, CA, USA, IEEE Comput. Soc, US, Aug. 16, 1998. pp. ISBN: 0-8186-8512-3 abstract section 3.

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