1 October 2005 Rock image classification using color features in Gabor space
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J. of Electronic Imaging, 14(4), 040503 (2005). doi:10.1117/1.2149872
Abstract
In image classification, the common texture-based methods are based on image gray levels. However, the use of color information improves the classification accuracy of the colored textures. In this paper, we extract texture features from the natural rock images that are used in bedrock investigations. A Gaussian bandpass filtering is applied to the color channels of the images in RGB and HSI color spaces using different scales. The obtained feature vectors are low dimensional, which make the methods computationally effective. The results show that using combinations of different color channels, the classification accuracy can be significantly improved.
Leena Lepistö, Iivari Kunttu, Ari J.E. Visa, "Rock image classification using color features in Gabor space," Journal of Electronic Imaging 14(4), 040503 (1 October 2005). http://dx.doi.org/10.1117/1.2149872
Submission: Received ; Accepted
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KEYWORDS
Image classification

Optical filters

Image filtering

RGB color model

Image analysis

Databases

Bandpass filters

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