General scheme of region competition based on scale space

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 23, Issue 12, 2001, Pages 1366-1378

  Tang, Ming ^b   Ma, Songde ^a,b  

^a IEEE   (China)

^b INSTITUTE OF AUTOMATION   (China)

Author keywords

Nonparametric probability model; Region competition; Region growing; Scale space based classification; Segmentation

Indexed keywords

NONPARAMETRIC PROBABILITY MODELS;

ALGORITHMS; COLOR IMAGE PROCESSING; FEATURE EXTRACTION; MATHEMATICAL MODELS; PROBABILITY;

IMAGE SEGMENTATION;

EID: 0035673293     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.977561     Document Type: Article

References (32)

1. Seeded region growing
2. Segmentation through variable-order surface fitting
3. A computational approach to edge detection
4. Geodesic active contour
5. A robust method for picture segmentation based on split-and-merge procedure
6. Split-and-merge image segmentation based on localized feature analysis and statistical tests
7. Mean shift, mode seeking, and clustering
8. On active contour models and balloons
9. A survey of edge detection techniques
10. The estimation of the gradient of a density function, with applications in pattern recognition
11. Boundary detection by constrained optimization
12. Stochastic relaxation, gibbs distributions and the bayesian restoration of images
13. Image segmentation techniques
14. Snakes: Active contour models
15. Constructing simple stable descriptions for image partitioning
16. Morphological segmentation
17. Derivative computation by multiscale filters
18. A review on image segmentation techniques
19. A new approach for multilevel threshold selection
20. Integrating region growing and edge detection
21. Parametric and non-parametric unsupervised cluster analysis
22. Region-based strategies for active contour models
23. A survey of thresholding techniques
24. A new approach to clustering
25. Region competition: Unifying snakes, region growing and bayes/MDL for multiband image segmentation
26. Region growing: Childhood and adolescence