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| An Improved Distance Coherence Vector Algorithm for CBIR |
| ZENG Jie-Xian1,2,ZHAO Yong-Gang1,FU Xiang1,2 |
1.School of Software,Nanchang Hangkong University,Nanchang 330063
2.Key Laboratory of Nondestructive Testing Ministry of Education,Nanchang Hangkong University,Nanchang 330063 |
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Abstract An improved distance coherence vector for content-based image retrieval (CBIR) is proposed to improve the algorithm proposed by Sajjanhar et al. The improved algorithm regards centroidal distances vector of average coordinates from the biggest connected coherence pixels as a new feature vector. The new added feature vector is invariable to translation, scaling and rotation. Similarity of images is measured by different similar functions according to different feature vectors. The improved algorithm has better retrieval effect due to the more introduced spatial information. The experimental results indicate that the improved algorithm has high recall and precision.
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Received: 23 July 2009
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2010, Vol. 23 
