Abstract
In this paper a new efficient and fast technique for colour-based image retrieval is presented. The technique is based on utilizing singular feature in a multi layer system (SFMLSA). The colour features are extracted from image query and images database then distance measure based on city block is used to filter a set of images in each layer. Our approach attempts to overcome the computational complexity of applying bin-to-bin comparison as a multi dimensional feature vectors in the colour histogram approach. Furthermore, the proposed technique eliminate the needs of using the weight matrix, which is usually applied when more than one feature is combined together to judge on the similarity. This needs pre-knowledge of the conditions under which the images are captured. Throughout this paper a comparative study is carried out to examine the performance of the proposed approach with reference to an information theoretic approach using entropy as a discriminator for huge image database. Moreover, we examined the possibility of using the eigenvalues as a discernment feature for colour images, so we developed the necessary algorithms to test this approach. Different database sets has been used and the related algorithms are presented.
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References
Odeh, J.Q., Ahmad, F., Othman, M., Johari, R.: Image retrieval system based on colour histogram localization and colour pair segmentation. In: 2nd IASTED conference VIIP, pp. 41–45 (2002)
Natsev, A., Rastogi, R., Shim, K.: WARLUS: A similarity retrieval algorithm for image database. ACM 1-58113-084-8 (1999)
Hafiner, J., Harpreet, S., Sawhney, W., Equitz, M., Flicker, W.: Efficient Colour Histogram. In: Indexing for Quadratic Form Distance Function, IEEE, Los Alamitos 0162-8828/95 (1995)
Lu, G., Philips, J.: Using perceptually weighted histograms for colour-based image retrieval. In: Proceeding of ICSP (1998)
Lu, G.: Techniques and data structure for efficient multimedia retrieval based similarity. IEEE Transactions on Multimedia 4(3) (September 2002)
Faloutsos, C.: Searching multimedia database by content. Kluwer, Norwell (1996)
Sticker, M.: Similarity of colour images, San Joes. SPIE Proceeding series (1995)
Zachary, J.M.: An Information theoretic approach to content based image retrieval. Ph.D. dissertation, Louisiana state university (2000)
Fukunaga, K.: Introduction to Statistical Recognition, 2nd edn. Acadmic Press, New York
Swets, D.L., Weng, J.: Using discriminant eigenfeatures for image retrieval. IEEE Transaction on Pattern Analysis and Machine Intelligent 18(8), 831–836 (1996)
Murase, H., Nayar, N.: Visual learning and recognition of 3D objects from appearance. International Journal of Computer Vision 14, 5–24 (1995)
Simeulders, A.W.M.: Content based Image retrieval at the End of the Early Years. IEEE Transaction on Pattern Analysis and Machine Intelligence 22(12) (December 2000)
Yates, B.: Modern Information Retrieval. Addison Wesley, Reading (1999)
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Odeh, J.Q., Ahmad, F., Othman, M., Johari, R. (2003). An Efficient and Fast Multi Layer Statistical Approach for Colour Based Image Retrieval. In: Sembok, T.M.T., Zaman, H.B., Chen, H., Urs, S.R., Myaeng, SH. (eds) Digital Libraries: Technology and Management of Indigenous Knowledge for Global Access. ICADL 2003. Lecture Notes in Computer Science, vol 2911. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24594-0_12
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DOI: https://doi.org/10.1007/978-3-540-24594-0_12
Publisher Name: Springer, Berlin, Heidelberg
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