Name
Title | ||
|---|---|---|
Optimal spatial filter selection for illumination-invariant colortexture discrimination |
Abstract | ||
|---|---|---|
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 |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/3477.865180 | IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics |
Keywords | DocType | Volume |
optimal spatial filter selection,random color,color distribution,color image,illumination-invariant colortexture discrimination,optimal filter,spatial structure,spatial filter,illumination-invariant feature,illumination-invariant spatial information,illumination-invariant color texture discrimination,color texture | Journal | 30 |
Issue | ISSN | Citations |
4 | 1083-4419 | 1 |
PageRank | References | Authors |
0.36 | 2 | 2 |