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Gabor Filtering of Complex Hue/Saturation Images for Color Texture Classification

By Christoph Palm, Daniel Keysers, Thomas Lehmann and Klaus Spitzer


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 saturation as 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-features is compared with that of RGB based as well as grayscale Gabor features by evaluating the classification of 30 natural textures. The new HS-features show same results like the best RGB features but allow a more compact representation. On the average the 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 ..

Year: 2000
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