Gabor Filtering of Complex Hue/Saturation Images for Color Texture Classification
- Objective: Complex hue/saturation images as a new approach for color texture classification using Gabor filters are introduced and compared with common techniques. Method: The interpretation of hue and saturationas polar coordinates allows direct use of the HSV-colorspace for Fourier transform. This technique is applied for Gabor feature extraction of color textures. In contrast to other color features based on the RGB-colorspace [1] the combination of color bands is done previous to the filtering. Results: The performance of the new HS-featuresis compared with that of RGB based as well as grayscale Gabor features by evaluating the classifi-cation of 30 natural textures. The new HS-featuresshow same results like the best RGB features but allow a more compact representation. On the averagethe color features improve the results of grayscale features. Conclusion: The consideration of the color information enhances the classification of color texture. The choice of colorspace cannot be adjudged finally, but the introduced features suggest the use of the HSV-colorspace with less features than RGB.
Author: | Christoph PalmORCiDGND, Daniel Keysers, Thomas M. Lehmann, Klaus Spitzer |
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URL / DOI: | http://www.keysers.net/daniel/files/JCIS2000_palm.pdf |
Parent Title (English): | Proceedings of the 5th Joint Conference on Information Science (JCIS) 2, The Association for Intelligent Machinery, Atlantic City, NJ, 2000 |
Document Type: | conference proceeding (article) |
Language: | English |
Year of first Publication: | 2000 |
Release Date: | 2020/06/05 |
First Page: | 45 |
Last Page: | 49 |
Institutes: | Fakultät Informatik und Mathematik |
Regensburg Medical Image Computing - ReMIC | |
Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 006 Spezielle Computerverfahren |
Publication: | Externe Publikationen |