Content-Based Image Retrieval Using Color, Texture and Shape Features


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Nowadays CBIR is getting more and more attention from organizations and researchers due to advances in digital imaging techniques. A lot of interest is getting paid to search images from large databases, as it is not only difficult and time-consuming task but sometimes frustrating for the users. This paper proposes the CBIR system based on color, texture and shape features. The proposed method employs the use of DCT and DWT along with Hierarchical k-means algorithm for faster retrieval of images. The efficiency of the given method is demonstrated by the results in the paper.



Edited by:

Nikita Martyushev and Anna Bogdan




A. Ponomarev et al., "Content-Based Image Retrieval Using Color, Texture and Shape Features", Key Engineering Materials, Vol. 685, pp. 872-876, 2016

Online since:

February 2016




* - Corresponding Author

[1] David G. Lowe, Distinctive image features from scale-invariant keypoints, International Journal of Computer Vision, 60/2(2004) 91-110.


[2] C. A. Z. Barcelos, M. J. R. Ferreira, and M. L. Rodrigues, Retrieval of textured images through the use of quantization and modal analysis pattern recognition, 40/4(2007) 1195–1206.


[3] Hui Hui Wang, Dzulkifli Mohamad, N.A. Ismail, Approaches, challenges and future direction of image retrieval, Journal of Computing, 2/6 (2010).

[4] T. Kato, Database architecture for content-based image retrieval, Proceedings of SPIE Image Storage and Retrieval Systems USA, 1662 (1992) 112–123.


[5] A. Smeulders, M. Worring, S. Santini, A. Gupta, R. Jain, Content-based image retrieval at the end of the early years, IEEE Trans Pattern Rec. & Machine Intel, 22(2000) 1349-1380.


[6] Herve Jegou, Matthijs Douze, Cordelia Schmid, Hamming embedding and weak geometric consistency for large scale image search, ECCV '08: Proceedings of the 10th European Conference on Computer Vision, (2008) 304-317.


[7] A. Ponomarev, E. Merker. I. Korneva, Use of OPEN UMS format for document flow formalization in medicine, The doctor and Information Technology, (2015) 17-23.