The contracting curve density algorithm and its application to model-based image segmentation

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 1, Issue , 2001, Pages

  Hanek, Robert ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COLOR IMAGE PROCESSING; IMAGE RECONSTRUCTION; PROBABILITY DISTRIBUTIONS; STATISTICAL METHODS;

CURVE DENSITY ALGORITHMS;

IMAGE SEGMENTATION;

EID: 0035683440     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (25)

1. Using dynamic programming for solving variational problems in vision
2. Parametric feature detection
3. Color-and texture-based image segmentation using the expectation-maximization algorithm and its application to content-based image retrieval
4. A computational approach to edge detection
5. Game-theoretic integration for image segmentation
6. Statistical region snake-based segmentation adapted to different physical noise models
7. Maximum likelihood from incomplete data via the EM algorithm
8. Image segmentation based on the integration of pixel affinity and deformable models
9. Snakes: Active contour models
10. Statistical shape influence in geodesic active contours
11. Feature detection with automatic scale selection
12. Robust snake model
13. Textons, contours and regions: Cue integration in image segmentation
14. Bayesian fusion of color and texture segmentations
15. Deformable models in medical image analysis: A survey
16. On detecting edges
17. Coupled geodesic active regions for image segmentation: A level set approach
18. Region-based strategies for active contour models
19. Subpixel-precise extraction of lines and edges, Inter
20. Fusion of color, shading and boundary information for factory pipe segmentation
21. Monte carlo localization with mixture proposal distribution
22. Snakes, shapes, and gradient vector flow
23. Region competition: Unifying snakes, region growing, and bayes/mdl for multiband image segmentation