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Extended color local mapped pattern for color texture classification under varying illumination.
- Source :
- Journal of Electronic Imaging; Jan/Feb2018, Vol. 27 Issue 1, p1-12, 12p
- Publication Year :
- 2018
-
Abstract
- This paper presents a color-texture descriptor based on the local mapped pattern approach for color-texture classification under different lighting conditions. The proposed descriptor, namely extended color local mapped pattern (ECLMP), considers the magnitude of the color vectors inside the RGB cube to extract color-texture information from the images. These features are combined with texture information from the luminance image in a multiresolution fashion to get the ECLMP feature vector. The robustness of the proposed method is evaluated using the RawFooT, KTH-TIPS-2b, and USPtex databases. The experimental results show that the proposed descriptor is more robust to changes in the illumination condition than 22 alternative commonly used descriptors. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10179909
- Volume :
- 27
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Journal of Electronic Imaging
- Publication Type :
- Academic Journal
- Accession number :
- 128377174
- Full Text :
- https://doi.org/10.1117/1.JEI.27.1.011008