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Histogram ratio features for color texture classification
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DOI：10.1016/S0167-8655(02)00244-1.png)
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This paper presents a color texture classification method using ratio features extracted from the color histogram. Combining pairs of bins and computing corresponding count ratios, ratio features are created that characterize the given color texture in an auto-correlative sense. The method is compared against the traditional color histogram method and improved results are obtained. (C) 2002 Elsevier Science B.V. All rights reserved.
Keyword:
color processing
histograms
classification
feature extraction
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3.3
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