Image retrieval based on multi-feature similarity score fusion using genetic algorithm

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Mianshu Chen; Ping Fu; Yuan Sun; Hui Zhang: Image retrieval based on multi-feature similarity score fusion using genetic algorithm. Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on , vol.2, pp.45-49, 26-28 Feb. 2010



This paper proposes an image retrieval method based on multi-feature similarity score fusion using genetic algorithm. Single feature describes image content only from one point of view, which has a certain one-sided. Fusing multi-feature similarity score is expected to improve the system's retrieval performance. In this paper, the retrieval results from color feature and texture feature are analyzed, and the method of fusing multi-feature similarity score is described. For the purpose of assigning the fusion weights of multi-feature similarity scores reasonably, the genetic algorithm is applied. For comparison, other three methods are implemented. They are image retrieval based on color feature, texture feature and fusion of color-texture feature similarity score with equal weights. The experimental results show that the proposed method is superior to other methods.

Extended Abstract


author={Mianshu Chen and Yuan Sun and Ping Fu and Hui Zhang},
booktitle={Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on},
title={Image retrieval based on multi-feature similarity score fusion using genetic algorithm},
keywords={genetic algorithms;image colour analysis;image fusion;image retrieval;image texture;color feature;genetic algorithm;image retrieval;multifeature similarity score fusion;texture feature;Computer science education;Content based retrieval;Feature extraction;Genetic algorithms;Genetic engineering;Image retrieval;Information retrieval;Shape;Spatial resolution;Sun;fusion;genetic algorithm;image retrieval},
url={ },

Used References

Gudivada V. N., Raghavan V. V., "Content based image retrieval systems," IEEE Computer, vol.28, pp. 18-22, 1995.

Ritendra Datta, Dhiraj Joshi, Jia Li, James Z. Wang, "Image retrieval: Ideas, influences, and trends of the new age," ACM Computing Surveys, vol.40, pp. 1-60, 2008.

B.G. Prasad, K.K. Biswas, S.K. Gupta, "Region-based image retrieval using integrated color, shape, and location index," Computer Vision and Image Understanding, vol.94, pp. 193-233, 2004.

Young Deok Chun, Nam Chul Kim, Ick Hoon Jang, "Content-Based Image Retrieval Using Multiresolution Color and Texture Features," IEEE Transaction on Multimedia, vol.10, pp. 1073-1084, 2008.

Tai X. Y., Wang L. D. , "Medical Image Retrieval Based on Color-Texture Algorithm and GTI Model, " Bioinformatics and Biomedical Engineering, 2008, ICBBE 2008, The 2nd International Conference on, pp. 2574-2578.

H. Yu, M. Li, H.-J. Zhang, J. Feng, "Color texture moments for content-based image retrieval," In International Conference on Image Processing, pp. 24-28, 2002.

Anil K. Jain , Aditya Vailaya, "Image retrieval using color and shape," Pattern Recognition, vol.29, pp. 1233-1244, 1996. (Pubitemid 126405513)

Xiuqi Li, Shu-Ching Chen, Mei-Ling Shyu, Borko Furht, "Image Retrieval By Color, Texture, And Spatial Information," In: Proceedings of the the 8th International Conference on Distributed Multimedia Systems (DMS 2002), San Francisco Bay, CA, USA, pp. 152-159 , 2002.

I. Markov, N. Vassilieva, "Image Retrieval: Color and Texture Combining Based on Query-Image," ICISP 2008, LNCS 5099, Springer-Verlag Berlin Heidelberg, 2008, pp. 430-438.

M. Jovic, Y. Hatakeyama, F. Dong, K. Hirota, "Image Retrieval Based on Similarity Score Fusion from Feature Similarity Ranking Lists," 3


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