Invariant and perceptually consistent texture mapping for content-based image retrieval

IEEE International Conference on Image Processing

Volumn 2, Issue , 2001, Pages 117-120

  Long, H ^a   Tan, C W ^a   Leow, W K ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

CONFORMAL MAPPING; DATABASE SYSTEMS; PATTERN MATCHING; PERFORMANCE; VISION;

FUZZY FEATURES CONTRAST MODEL; INVARIANT TEXTURE SPACE; TEXTURE MAPPING;

FEATURE EXTRACTION;

EID: 0035163753     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

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4. Convolutional networks for images, speech, and time series
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6. Periodicity, directionality, and randomness: World Features for image modeling and retrieval
7. Perceptual texture space for content-based image retrieval
8. Perceptual texture space improves perceptual consistency of computational features
9. Texture features and learning similarity
10. Identifying high level features of texture perception
11. Similarity measures
12. Translation, scale, and rotation invariant texture descriptor for texture-based image retrieval
13. Textural features corresponding to visual perception
14. Orientation- and scale-invariant recognition of textures in multi-object scenes