Abstract
In this paper, two block-based texture methods are proposed for content-based image retrieval (CBIR). The approaches use the Local Binary Pattern (LBP) texture feature as the source of image description. The first method divides the query and database images into equally sized blocks from which LBP histograms are extracted. Then the block histograms are compared using a relative L 1 dissimilarity measure based on the Minkowski distances. The second approach uses the image division on database images and calculates a single feature histogram for the query. It sums up the database histograms according to the size of the query image and finds the best match by exploiting a sliding search window. The first method is evaluated against color correlogram and edge histogram based algorithms. The second, user interaction dependent approach is used to provide example queries. The experiments show the clear superiority of the new algorithms against their competitors.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Swain, M., Ballard, D.: Color Indexing. In: Third International Conference on Computer Vision., pp. 11–32 (1990)
Huang, J., Kumar, S.R., Mitra, M., Zhu, W.-J., Zabih, R.: Image Indexing Using Color Correlograms. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 762–768 (1997)
Stricker, M., Orengo, M.: Similarity of Color Images. In: SPIE Conference on Storage and Retrieval for Image and Video Databases, pp. 381–392 (1995)
Manjunath, B.S., Ohm, J.-R., Vasudevan, V., Yamada, A.: Color and Texture Descriptors. IEEE Transactions on Circuits and Systems for Video Technology 11, 703–715 (2001)
Manjunath, B.S., Ma, W.Y.: Texture Features for Browsing and Retrieval of Image Data. IEEE Transactions on Pattern Analysis and Machine Intelligence 18, 837–842 (1996)
Sim, D.-G., Kim, H.-K., Oh, D.-H.: Translation, Rotation, and Scale Invariant Texture Descriptor for Texture-Based Image Retrieval. In: International Conference on Image Processing, pp. 742–745 (2000)
Mao, J., Jain, A.: Texture Classification and Segmentation Using Multiresolution Simultaneous Autoregressive Models. Pattern Recognition 25, 173–188 (1992)
Francos, J.M., Meiri, A.Z., Porat, B.: On a Wold-Like Decomposition of 2-D Discrete Random Fields. In: International Conference on Acoustics, Speech, and Signal Processing, pp. 2695–2698 (1990)
Tamura, H., Mori, S., Yamawaki, T.: Textural Features Corresponding to Visual Perception. IEEE Transactions on Systems, Man, and Cybernetics 8, 460–473 (1978)
Park, S.J., Park, D.K., Won, C.S.: Core Experiments on MPEG-7 Edge Histogram Descriptor ISO/IEC JTC1/SC29/WG11 - MPEG2000/M5984 (2000)
Ojala, T., Pietikäinen, M., Hardwood, D.: A Comparative Study of Texture Measures with Classification Based on Feature Distribution. Pattern Recognition 29, 51–59 (1996)
Yao, C.-H., Chen, S.-Y.: Retrieval of Translated, Rotated and Scaled Color Textures. Pattern Recognition 36, 913–929 (2003)
Ahonen, T., Hadid, A., Pietikäinen, M.: Face Recognition with Local Binary Patterns. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3021, pp. 469–481. Springer, Heidelberg (2004)
Mäenpää, T., Turtinen, M., Pietikäinen, M.: Real-Time Surface Inspection by Texture. Real-Time Imaging 9, 289–296 (2003)
Pietikäinen, M., Nurmela, T., Mäenpää, T., Turtinen, M.: View-Based Recognition of Real-World Textures. Pattern Recognition 37, 313–323 (2004)
Veltkamp, R.C., Tanase, M.: Content-Based Image Retrieval Systems: A Survey. Revised and extended version of Technical Report UU-CS-2000-34, Department of Computing Science, Utrecht University (2002)
Laaksonen, J., Koskela, M., Oja, E.: PicSOM: Self-Organizing Maps for Content-Based Image Retrieval. In: IEEE International Joint Conference on Neural Networks, pp. 2470–2473 (1999)
Ojala, T., Pietikäinen, M., Mäenpää, T.: Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence 24, 971–987 (2002)
Puzicha, J., Rubner, Y., Tomasi, C., Buhmann, J.M.: Empirical Evaluation of Dissimilarity Measures for Color and Texture. In: Seventh IEEE International Conference on Computer Vision, pp. 1165–1172 (1999)
Corel Corporation (2005), http://www.corel.com/
Park, D.K., Jeon, Y.S., Won, C.S.: Efficient Use of Local Edge Histogram Descriptor. In: 2000 ACM workshop on Standards, Interoperability and Practices, pp. 52–54 (2000)
Takala, V.: Local Binary Pattern Method in Context-Based Image Retrieval. Master’s thesis, Department of Electrical and Information Engineering, University of Oulu (2004) (in Finnish)
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
Takala, V., Ahonen, T., Pietikäinen, M. (2005). Block-Based Methods for Image Retrieval Using Local Binary Patterns. In: Kalviainen, H., Parkkinen, J., Kaarna, A. (eds) Image Analysis. SCIA 2005. Lecture Notes in Computer Science, vol 3540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11499145_89
Download citation
DOI: https://doi.org/10.1007/11499145_89
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26320-3
Online ISBN: 978-3-540-31566-7
eBook Packages: Computer ScienceComputer Science (R0)
