Computer Science ›› 2015, Vol. 42 ›› Issue (Z11): 109-112.

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Tolerance Nearness Measure Based on HSV and Texture Feature

LIU Wen-ying, WANG Yong-jun and YANG Yi-chuan   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Content-based image retrieval is a very important issue in image processing.Similarity measure is a core problem in content-based image retrieval.Tolerance nearness measure method based on near set is better than IRM(integra-ted region matching) when it just extracts the Grey feature.Considering that tNM is close to human visual,we replaced Grey feature with HSV color space. We extracted Grey+texture feature and HSV+texture feature,respectively.Then the retrieval results was obtained by IRM and tNM from 10 categories images.Through analyzing and comparing those results,we drew a conclusion that HSV+texture feature has higher performance compared to Grey+texture feature.

Key words: Similarity measure,Tolerance nearness measure,Grey+texture,HSV+texture

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