Abstract
In this paper a region based image retrieval scheme has been proposed based on integration of color, texture and shape features using local binary patterns (LBP). The color and texture features are extracted using LBP histograms of quantized color image and gray level images respectively. For improving the discrimination power of LBP, threshold computed using both centre pixel and its neighbors is used. Finally, shape features are computed using the binary edge map obtained using Sobel edge detector from each block. All three features are combined to make a single completed binary region descriptor (CBRD) represented in the LBP way. To support region based retrieval a more effective region code based scheme is employed. The spatial relative locations of objects are also considered to increase the retrieval accuracy.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Faloutsos, C., Barber, R., Flickner, M., Hafner, J., Niblack, W., Petkovic, D., Equitz, W.: Efficient and effective querying by image content. J. Intell. Inf. Syst. 3(3–4), 231–262 (1994)
Pentland, A., Picard, R.W., Scaroff, S.: Photobook: content-based manipulation for image databases. Int. J. Comput. Vis. 18(3), 233–254 (1996)
Gupta, A., Jain, R.: Visual information retrieval. Commun. ACM 40(5), 70–79 (1997)
Smith, J.R., Chang, S.F.: Visualseek: a fully automatic content-based query system. In: Proceedings of ACM International Conference on Multimedia, pp. 87–98 (1996)
Ma, W.Y., Manjunath, B.: Netra: a toolbox for navigating large image databases. In: Proceedings of International Conference on Image Processing, pp. 568–571 (1997)
Wong, K.-M., Cheung, K.-W., Po, L.-M.: MIRROR: an interactive content based image retrieval system. In: Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS 2005), vol. 2, pp. 1541–1544 (2005)
Broek, E.L., Kisters, P.M.F., Vuurpijl, L.G.: The utilization of human color categorization for content-based image retrieval. Proc. SPIE 5292, 351–362 (2004)
Huang, C., Liu, Q., Yu, S.: Regions of interest extraction from color image based on visual saliency. J. Supercomput. 58(1), 20–33 (2011)
Zhang, J., Yoo, C.W., Ha, S.W.: ROI based natural image retrieval using color and texture feature. Fuzzy Syst. Knowl. Discov. (2007)
Shrivastava, N., Tyagi, V.: Content based image retrieval based on relative locations of multiple regions of interest using selective regions matching. Inf. Sci. 259, 212–224 (2013)
Tian, Q., Wu, Y., Huang, T.S.: Combine user defined region-of-interest and spatial layout for image retrieval. In: Proceedings of IEEE International Conference on Image Processing (ICIP’2000), vol. 3, pp. 746–749 (2000)
Prasad, B.G., Biswas, K.K., Gupta, S.K.: Region-based image retrieval using integrated color, shape and location index. Comput. Vis. Image Underst. 94, 193–233 (2004)
Moghaddam, B., Biermann, H., Margaritis, D.: Regions-of-interest and spatial layout for content-based image retrieval. Multimedia Tools Appl. 14(2), 201–210 (2001)
Lee, J., Nang, J.: Content-based image retrieval method using the relative location of multiple ROIs. Adv. Electr. Comput. Eng. 11(3), 85–90 (2011)
Shrivastava, N., Tyagi, V.: A review of ROI image retrieval techniques. Adv. Intell. Syst. Comput. 328, 509–520 (2015). doi:10.1007/978-3-319-12012-6_56
Liu, G.H., Yang, J.Y.: Image retrieval based on the texton co-occurrence matrix. Pattern Recogn. 41(12), 3521–3527 (2008)
Shrivastava, N., Tyagi, V.: An effective scheme for image texture classification based on binary local structure pattern. Visual Comput. 30(11), 1223–1232 (2014). doi:http://dx.doi.org/10.1007/s00371-013-0887-0
Liu, G.H., Li, Z.Y., Zhang, L., Xu, Y.: Image retrieval based on micro-structure descriptor. Pattern Recogn. 44(9), 2123–2133 (2011)
Wang, X., Wang, Z.: A novel method for image retrieval based on structure elements descriptor. J. Vis. Commun. Image Represent. 24, 63–74 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer India
About this paper
Cite this paper
Shrivastava, N., Tyagi, V. (2015). Region Based Image Retrieval Using Integrated Color, Texture and Shape Features. In: Mandal, J., Satapathy, S., Kumar Sanyal, M., Sarkar, P., Mukhopadhyay, A. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 340. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2247-7_32
Download citation
DOI: https://doi.org/10.1007/978-81-322-2247-7_32
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-2246-0
Online ISBN: 978-81-322-2247-7
eBook Packages: EngineeringEngineering (R0)