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  2009, Vol. 22 Issue (1): 156-161    DOI:
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Image Similarity Measure Based on Intuitionistic Fuzzy Set
XU Shao-Ping1,2, ZHANG Hua1, JIANG Shun-Liang2 , YE Fa-Mao2, XIONG Yu-Hong2
1.Key Laboratory of Robot and Welding Automation of Jiangxi Province, School of Mechanical and Electrical Engineering, Nanchang University, Nanchang 330031
2.Department of Computer Science and Technology, School of Information Engineering, Nanchang University, Nanchang 330031

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Abstract  An intuitionistic fuzzy model for images based on the HSV color histogram is proposed. The image can be considered as an intuitionistic fuzzy set (IFS) by this model. Similarity measures are originally introduced to express the comparison between two fuzzy sets, and they can be used to reflect the resemblance of images. Experimental results show that the proposed approach can efficiently process queries of an image database in HSV color space and its accuracy rate is 5%~10% higher than those of fuzzy similarity measures and conventional histogram distances.
Key wordsSimilarity Measure      Intuitionistic Fuzzy Model of Image      HSV Color Histogram      Content-Based Image Retrieval (CBIR)     
Received: 03 December 2007     
ZTFLH: TP391.4  
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XU Shao-Ping
ZHANG Hua
JIANG Shun-Liang
YE Fa-Mao
XIONG Yu-Hong
Cite this article:   
XU Shao-Ping,ZHANG Hua,JIANG Shun-Liang等. Image Similarity Measure Based on Intuitionistic Fuzzy Set[J]. , 2009, 22(1): 156-161.
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