Abstract
Due to the availability of large number of digital images, development of an efficient content-based indexing and retrieval method is required. This paper proposes a moment based image retrieval method. Image is divided into blocks and geometric moment of each block is calculated followed by computation of distance between block moments of query image and database images. Then threshold, using distance values, is applied to retrieve images similar to the query image. Performance of the proposed method is compared with other state-of-the-art image retrieval methods on the basis of results obtained on Corel-1000 database. The comparison shows that the proposed method gives better results in terms of precision and recall as compared to the other image retrieval methods.
The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-3-319-05939-6_37
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Long, H., Zhang, H., Feng, D.D.: Fundamentals of content-based image retrieval. Multimedia Information Retrieval and Management. Springer, Berlin (2003)
Rui, Y., Huang, T.S., Chang, S.: Image retrieval: current techniques, promising directions, and open issues. J. Vis. Commun. Image Represent. 10, 39–62 (1999)
Khare, M., Srivastava, R.K., Khare, A.: Moving object segmentation in daubechies complex wavelet domain. Sig. Image Video Process. doi: 10.1007/s11760-013-0496-4, Springer (2013)
Zhang, D., Lu, G.: Fourier descriptor for shape-based image retrieval. Sig. Process.-Image Commun. 17, 825–848 (2002)
Lin, H., Kao, Y., Yen, S., Wang, C.: A study of shape-based image retrieval. In: 24th International Conference on Distributed Computing Workshops (2004)
Yoo, H., Jang, D., Jung, S., Park, J., Song, K.: Visual information retrieval via content-based approach. J. Pattern Recogn. Soc. 35, 749–769 (2002)
Fu, X., Li, Y., Harrison, R., Belkasim, S.: Content-based image retrieval using gabor-zernike features. In: 18th International Conference on Pattern Recognition, vol. 2, pp. 417–420 (2006)
Murala, S., Maheshwari, R.P., Balasubramanian, R.: Local tetra patterns: a new descriptor for content-based image retrieval. IEEE Trans. Image Process. 21, 2874–2886 (2012)
Murala, S., Maheshwari, R.P., Balasubramanian, R.: Directional local extrema patterns: a new descriptor for content-based image retrieval. Int. J. Multimedia Inf. Retrieval 1, 191–203 (2012)
Liu, G., Zhang, L., Hou, Y., Yang, J.: Image retrieval based on multi-texton histogram. Pattern Recogn. 43, 2380–2389 (2008)
Liu, G., Yang, Y.: Image retrieval based on texton co-occurrence matrix. Pattern Recogn. 41, 3521–3527 (2008)
Liu, G., Li, Z., Zhang, L., Xu, Y.: Image retrieval based on microstructure descriptor. Pattern Recogn. (2011)
Wang, X., Yu, Y., Yang, H.: An effective image retrieval using color, texture and shape features. Comput. Stan. Interfaces 33, 59–68 (2011)
Flusser, J.: Moment invariants in image analysis. Acad. Sci. Eng. Technol. (2005)
Li S., Lee M.C., Pun C.M.: Complex zernike moments shape-based image retrieval. IEEE Trans. Syst. Cybern. Part A: Syst. Humans, 39, 227–237 (2009)
Takala, V., Ahonen, T., Pietikäinen, M.: Block-based methods for image retrieval using local binary patterns. In: Kalviainen, H., Parkkinen, J., Kaarna, A. (eds.) SCIA 2005. LNCS, vol. 3540, pp. 882–891. Springer, Heidelberg (2005)
Yuan, X., Yu, J., Qin, Z., Wan, T.: A SIFT-LBP based image retrieval model based on bag-of-words features. In: International Conference on Image Processing, pp. 1061–1064 (2011)
Deselaers, T., Keysers, D., Ney, H.: Features for image retrieval: an experimental comparison. Inf. Retrieval 11, 77–107 (2008)
Pan, Z., Chen, Z., Zhang, G.: Threshold segmentation using cultural algorithms for image analysis. In: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications, pp. 662512–662512 (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Srivastava, P., Binh, N.T., Khare, A. (2014). Content-Based Image Retrieval Using Moments. In: Vinh, P., Alagar, V., Vassev, E., Khare, A. (eds) Context-Aware Systems and Applications. ICCASA 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 128. Springer, Cham. https://doi.org/10.1007/978-3-319-05939-6_23
Download citation
DOI: https://doi.org/10.1007/978-3-319-05939-6_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05938-9
Online ISBN: 978-3-319-05939-6
eBook Packages: Computer ScienceComputer Science (R0)