Conference proceeding
Simultaneous searching of globally optimal interacting surfaces with shape priors
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.2879-2886
06/2010
DOI: 10.1109/CVPR.2010.5540025
Abstract
Multiple surface searching with only image intensity information is a difficult job in the presence of high noise and weak edges. We present in this paper a novel method for globally optimal multi-surface searching with a shape prior represented by convex pairwise energies. A 3-D graph-theoretic framework is employed. An arc-weighted graph is constructed based on a shape model built from training datasets. A wide spectrum of constraints is then incorporated. The shape prior term penalizes the local topological change from the original shape model. The globally optimal solution for multiple surfaces can be obtained by computing a maximum flow in low-order polynomial time. Compared with other graph-based methods, our approach provides more local and flexible control of the shape. We also prove that our algorithm can handle the detection of multiple crossing surfaces with no shared voxels. Our method was applied to several application problems, including medical image segmentation, scenic image segmentation, and image resizing. Compared with results without using shape prior information, our improvement was quite impressive, demonstrating the promise of our method.
Details
- Title: Subtitle
- Simultaneous searching of globally optimal interacting surfaces with shape priors
- Creators
- Qi Song - University of IowaXiaodong Wu - University of IowaYunlong Liu - University of IowaMilan Sonka - University of IowaMona Garvin - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.2879-2886
- DOI
- 10.1109/CVPR.2010.5540025
- ISSN
- 1063-6919
- Publisher
- IEEE
- Language
- English
- Date published
- 06/2010
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; The Iowa Institute for Biomedical Imaging; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984186693502771
Metrics
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