Evaluation of color representation for texture analysis

Broek van den, E.L. and Rikxoort van, E.M. (2004) Evaluation of color representation for texture analysis. In: 16th Belgian Dutch Artificial Intelligence Conference, BNAIC 2004, 21-22 October 2004, Groningen, The Netherlands.

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Abstract:	Since more than 50 years texture in image material is a topic of research. Hereby, color was ignored mostly. This study compares 70 different configurations for texture analysis, using four features. For the configurations we used: (i) a gray value texture descriptor: the co-occurrence matrix and a color texture descriptor: the color correlogram, (ii) six color spaces, and (iii) several quantization schemes. A three classifier combination was used to classify the output of the configurations on the VisTex texture database. The results indicate that the use of a coarse HSV color space quantization can substantially improve texture recognition compared to various other gray and color quantization schemes.
Item Type:	Conference or Workshop Item
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Human Media Interaction (HMI)
Link to this item:	http://purl.utwente.nl/publications/79317
Official URL:	http://irs.ub.rug.nl/dbi/4357a847c1590
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