Abstract
This paper proposes a novel image retrieval method MCM (Multi-component Co-occurrence Matrices), which combines the color-connected regions in an image with their corresponding visual features in a region-growing like manner. Experimental results have shown that the MCM method has good retrieval performance and efficiency, due to the capability of integrating color composition, color spatial layout and texture characteristics into its coarse-granule region representation.
This work was supported by the National Natural Science Foundation of P.R. China under Grant No. 60505008.
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References
Malki, J., Boujemaa, N., Nastar, C., Winter, A.: Region queries without segmentation for image retrieval by content. In: Proceedings of Visual Information and Information Systems, Amsterdam, The Netherlands, June 2-4, pp. 115–122 (1999)
Fauqueur, J., Boujemaa, N.: Image retrieval by regions: coarse segmentation and fine color description. In: Chang, S.-K., Chen, Z., Lee, S.-Y. (eds.) VISUAL 2002. LNCS, vol. 2314, pp. 24–35. Springer, Heidelberg (2002)
Haralick, R.M.: Statistical and structural approaches to texture. Proceedings of the IEEE 67, 786–804 (1979)
Whelan, P.F., Molloy, D.: Machine vision algorithms in Java: techniques and implementation. Springer, Heidelberg (2001)
Vassili, K., Stephan, V.: Color co-occurrence descriptors for querying-by-example. In: Proceedings of International Conference on Multimedia Modeling, Lausanne, Switzerland, October 12-15, pp. 32–37 (1998)
Takahashi, N., Iwasaki, M., Kunieda, T., et al.: Image retrieval using spatial intensity features. Signal Processing: Image Communication 16, 45–57 (2000)
Yang, Y.B.: Research and applications on the key techniques of content-based image retrieval. Ph.D. Thesis, Nanjing University, Nanjing, P.R. China (in Chinese) (2003)
Gaurav, S.: Digital color Imaging. IEEE Transactions On Image Processing 6(7), 901–932 (1997)
Conners, R.W., Harlow, C.A.: A theoretical comparison of texture algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence 2, 204–222 (1980)
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Yang, Y., Chen, S., Zhang, Y. (2006). A Novel Image Retrieval Approach Combining Multiple Features of Color-Connected Regions. In: Ali, M., Dapoigny, R. (eds) Advances in Applied Artificial Intelligence. IEA/AIE 2006. Lecture Notes in Computer Science(), vol 4031. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11779568_55
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DOI: https://doi.org/10.1007/11779568_55
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