Statistical modeling of colour data

International Journal of Computer Vision

Volumn 44, Issue 2, 2001, Pages 87-109

  Alexander, Daniel C ^a   Buxton, Bernard F ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Active region models; Colour; Computer vision; Image processing; Physics based vision; Segmentation; Snakes; Statistical modeling; Statistics; Tracking

Indexed keywords

COLOR; COMPUTER VISION; LIGHT REFLECTION; STATISTICAL METHODS;

CHROMATICITY; STATISTICAL MODELING;

OPTICAL DATA PROCESSING;

EID: 0035454375     PISSN: 09205691     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1011870913626     Document Type: Article

References (51)

1. Modelling of single mode distributions of colour data using directional statistics
2. Implementational improvements for active region models
3. Advances in daylight statistical colour modelling
4. Colour-based detection of defects on chicken meat
5. Detection of diffuse and specular interface reflections and inter-reflections by color image segmentation
6. An antipodally symmetric distribution on the sphere
7. Interpreting image databases by region classification
8. Deformable boundary finding in medical images by integrating gradient and region information
9. Colour region tracking for vehicle guidance
10. Color constant color indexing
11. Comprehensive colour image normalisation
12. Adaptive B-splines and boundary estimation
13. Colour image segmentation and labelling through multiedit-condensing
14. Color based object recognition
15. Diffuse and specular reflectance from rough surfaces
16. Calculating the reflectance map
17. A color reflectance model and its use for segmentation
18. Segmenting images using normalised color
19. Statistical snakes: Active region models
20. Active region models for segmenting textures and colours
21. Constrained active region models for fast tracking in colour image sequences
22. Statisical color models with application to skin detection
23. Illuminance texture due to surface mesostructure
24. Asymptotic expansions for the Bingham distribution
25. Modelling light reflection for computer color vision
26. Statistical approaches to the analysis of receiver operating characteristic (ROC) curves
27. Generation, verification and localisation of object hypotheses based on colour
28. Illumination invariant colour recognition
29. Basic principles of ROC analysis
30. Reflectance based object recognition
31. Generalisation of the Lambertian model and implications for computer vision
32. Region-basedstrategies for active contour models
33. Using color to separate reflection components
34. ROC analysis applied to the analysis of medical imaging techniques
35. Vision and navigation for the Carnegie-Mellon Navlab
36. Theory for off-specular reflection from roughened surfaces
37. Standard surface-reflectance model and illuminant estimation
38. Surface identification using the dichromatic reflection model
39. A model fitting approach to cluster validation with application to stochastic model-based image segmentation
40. Filters, random fields and maximum entropy
41. Region competition: Unifying snakes, region growing, and Bayes/MDL for multiband image segmentation