Optimal spatial filter selection for illumination-invariant color texture discrimination
| Autor: | B. Thai, G. Healey |
|---|---|
| Rok vydání: | 2000 |
| Předmět: |
Color histogram
Demosaicing Color image Color normalization business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Color balance Pattern recognition General Medicine Color quantization Computer Science Applications Human-Computer Interaction Image texture Control and Systems Engineering Computer Science::Computer Vision and Pattern Recognition Color depth Computer vision Artificial intelligence Electrical and Electronic Engineering business Software ComputingMethodologies_COMPUTERGRAPHICS Information Systems Mathematics |
| Zdroj: | IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics). 30:610-616 |
| ISSN: | 1083-4419 |
| DOI: | 10.1109/3477.865180 |
| Popis: | Color textures contain a large amount of spectral and spatial structure that can be exploited for recognition. Recent work has demonstrated that spatial filters offer a convenient means of extracting illumination-invariant spatial information from a color image. In this paper, we address the problem of deriving optimal filters for illumination-invariant color texture discrimination. Color textures are represented by a set of illumination-invariant features that characterize the color distribution of a filtered image region. Similar features have been used in previous studies. Given a pair of color textures, we derive a spatial filter that maximizes the distance between these textures in feature space. We provide a method for using the pairwise result to obtain a filter that maximizes discriminability among multiple classes. A set of experiments on a database of deterministic and random color textures obtained under different illumination conditions demonstrates the improved discriminatory power achieved by using an optimized filter. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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