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Color-image retrieval based on fuzzy correlation

Color-image retrieval based on fuzzy correlation
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摘要 We report a method of color-image retrieval based on fuzzy correlation, inwhich α-cut relations in fuzzy set theory are applied to defining color match and heightmatch of color peaks for synthesizing fuzzy correlation of two color histograms, and RGBspace is partitioned into six sub-regions in the experiment for the regional colorcomparisons. Experimental results show that the efficiency of the color-image retrievalcan be effectively improved by this approach. We report a method of color-image retrieval based on fuzzy correlation, inwhich α-cut relations in fuzzy set theory are applied to defining color match and heightmatch of color peaks for synthesizing fuzzy correlation of two color histograms, and RGBspace is partitioned into six sub-regions in the experiment for the regional colorcomparisons. Experimental results show that the efficiency of the color-image retrievalcan be effectively improved by this approach.
出处 《Science in China(Series F)》 2004年第3期295-300,共6页 中国科学(F辑英文版)
关键词 color—image retrieval color histogram fuzzy correlation color—image retrieval color histogram fuzzy correlation
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