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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.
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Received: 03 December 2007
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2009, Vol. 22 
