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Sixth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'05)
Color Texture Classification Using Wavelet Transform
Las Vegas, Nevada
August 16-August 18
ISBN: 0-7695-2358-7
S. Arivazhagan, Mepco Schlenk Enggineering College
L. Ganesan, A.C. College of Enggineering and Technology
V. Angayarkanni, Mepco Schlenk Enggineering College
Texture and color are two very important attributes in image analysis. While the color information describes the first order image properties, the texture generally describes second order property of surfaces and scenes, measured over image intensities. The need to include color aspect in texture analysis is being felt increasingly. The important aspect is, the way in which the chromatic information is involved in the formation and description of a texture. This paper describes an algorithm for classifying color textures using wavelet transform. Wavelet transform is useful for extracting texture features of images. A set of features are derived and color texture classification is done for different combination of the features and for different color models. The results obtained are found to be satisfactory.
Index Terms:
Color texture, Color models, Discrete Wavelet Transform, Wavelet statistical and co-occurrence features, Classification
Citation:
S. Arivazhagan, L. Ganesan, V. Angayarkanni, "Color Texture Classification Using Wavelet Transform," iccima, pp.315-320, Sixth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'05), 2005
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