Histogram ratio features for color texture classification

Authors:
George Paschos;Maria Petrou
Affiliations:
School of Engineering, University of California Santa Cruz, Santa Cruz, CA;Centre for Vision Speech and Signal Processing, University of Surrey, Guildford GU2 5XH, UK
Venue:
Pattern Recognition Letters
Year:
2003

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Abstract

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.