Computing color categories from statistics of natural images

Journal of Imaging Science and Technology

Volumn 45, Issue 5, 2001, Pages 409-417

  Yendrikhovskij, S N ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COLOR IMAGE PROCESSING; COMPUTATIONAL METHODS; CONFORMAL MAPPING; IMAGE QUALITY; IMAGE UNDERSTANDING; STATISTICAL METHODS;

COLOR IMAGING SCIENCE; COLOR QUANTIZATION; COLOR STATISTICS; GAMUT MAPPING; NATURAL IMAGES;

IMAGING SYSTEMS;

EID: 0035438804     PISSN: 10623701     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (24)

1. Colors and reflectances
2. Principles of categorization
3. The perceptual organization of colors: An adaptation to regularities of the terrestrial world?
4. Locating basic colors in the OSA space
5. Segregation of basic colors in an information display
6. The number of discernible colors
7. Color concept retrieval by free color naming. Identification of up to 30 colors without training
8. Natural selection or shareability?
9. What does my eye tell your mind?
10. Color vision and color naming: A psychophysiological hypothesis of cultural difference
11. Colors in natural landscapes
12. The colors of natural objects and terrains, and their relation to visual color deficiency
13. Color and spatial structure in natural scenes
14. Color characteristics of human complexions
15. Statistics of natural surface reflectance functions by fast multi-spectral imaging
16. Vector quantization with complexity costs
17. Note: Half-a-million basic colour words: Berlin and Kay and the usage of colour words in literature and science
18. Categorical color mapping for gamut mapping