Abstract
We propose a new content-based image retrieval method using the color and pattern histogram that is adaptive to the block classification characteristics. In the proposed method, the color and pattern feature vectors are extracted according to the characteristics of the block classification after dividing an image into the blocks with a fixed size. Specifically, the adaptive representative color histograms are calculated according to the statistical characteristics of the classified block and the directional pattern histograms are extracted by performing the directional pattern classification. Experimental results show that the proposed method can outperform the conventional methods as regards the precision.
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
Preview
Unable to display preview. Download preview PDF.
References
Swain, M.J., Ballard, D.H.: Color indexing. Int. J. Comput. Vis. 7(1), 11–32 (1991)
Huang, J., Kumar, S.R., Mitra, M., Zhu, W.-J., Zabih, R.: Image indexing using color correlegram. In: Proc. CVPR 1997, pp. 762–768 (1997)
Qiu, G.: Color image indexing using BTC. IEEE Trans. Image Processing 12(1), 93–101 (2003)
Nezamabadi-pour, H., Kabir, E.: Image retrieval using histograms of uni-color and bi-color blocks and directional changes in intensity gradient. Pattern Recogn. Lett. 25(14), 1547–1557 (2004)
Rui, Y., Huang, T.S., Chang, S.-F.: Image retrieval: Current techniques, promising directions, and open issues. J. Vis. Commun. Image Represent. 10(1), 39–62 (1999)
Wang, J.Z., Li, J., Wiederhold, G.: SIMPLIcity: semantics-integrated matching for picture libraries. IEEE Trans. Pattern Anal. Machine Intell. 23(9), 947–963 (2001)
Chen, D., Bovik, A.C.: Visual pattern image coding. IEEE Trans. Commun. 38(12), 2137–2146 (1990)
Mojsilovic, A., Hu, H., Soljanin, E.: Extraction of perceptually important colors and similarity measurement for image matching, retrieval, and analysis. IEEE Trans. Image Processing 11(11), 1238–1248 (2002)
Sural, S., Quin, G., Pramanik, S.: Segmentation and histogram generation using HSV color space for image retrieval. In: Proc. of ICIP, vol. 2(2), pp. 589–592 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, TS., Kim, SJ., Lee, KI. (2005). Content-Based Image Retrieval Using Color and Pattern Histogram Adaptive to Block Classification Characteristics. In: Gagalowicz, A., Philips, W. (eds) Computer Analysis of Images and Patterns. CAIP 2005. Lecture Notes in Computer Science, vol 3691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11556121_16
Download citation
DOI: https://doi.org/10.1007/11556121_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28969-2
Online ISBN: 978-3-540-32011-1
eBook Packages: Computer ScienceComputer Science (R0)