Abstract
Shape-based image retrieval is one of the most challenging aspects in Content-Based Image Retrieval (CBIR). A variety of techniques are reported in the literature that aim to retrieve objects based on their shapes; each of these techniques has its advantages and disadvantages. In this paper, we propose a novel scheme that exploits complementary benefits of several shape-based image retrieval techniques and integrates their assessments based on a pair-wise co-ranking process. The proposed scheme can handle any number of CBIR techniques; however, three common techniques are used in this study: Invariant Zernike Moments (IZM), Multi-Triangular Area Representation (MTAR), and Fourier Descriptor (FD). The performance of the proposed scheme is compared with that of each of the selected techniques. As will be demonstrated in this paper, the proposed co-ranking scheme exhibits superior performance.
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
Hirata, K., Kato, T.: Query by visual example - content-based image retrieval. In: Pirotte, A., Delobel, C., Gottlob, G. (eds.) EDBT 1992. LNCS, vol. 580, pp. 56–71. Springer, Heidelberg (1992)
Mumford, D.: Mathematical theories of shape: Do they model perception? In: Proceedings of SPIE Conference on Geometric Methods in Computer Vision, San Diego, California, vol. 1570, pp. 2–10 (1991)
Biederman, I.: Recognition-by-components: a theory of human image understanding. Psychological Review 94, 115–147 (1987)
Schomaker, L., Leau, E.D., Vuurpijl, L.: Using Pen-Based Outlines for Object-Based Annotation and Image-Based Queries. Visual Information and Information Systems, 585–592 (1999)
Wang, Z., Chi, Z., Feng, D.: Shape based leaf image retrieval. In: IEE Proceedings, Vision Image and Signal Processing, vol. 150, pp. 34–43 (2003)
Celebi, M.E., Aslandogan, Y.A.: A Comparative Study of Three Moment-Based Shape Descriptors. In: ITCC’05. International Conference on Information Technology: Coding and Computing, pp. 788–793 (2005)
Hu, M.: Visual Pattern Recognition by Moment Invariants. IRE Transactions on Information Theory 8, 179–187 (1962)
Teague, M.: Image analysis via the general theory of moments. Journal of the Optical Society of America 70, 920–930 (1980)
Khotanzad, A.: Invariant Image Recognition by Zernike Moments. IEEE Transactions on Pattern Analysis and Machine Intelligence 12, 489–497 (1990)
Belkasim, S.O., Shridhar, M., Ahmadi, M.: Pattern Recognition with Moment Invariants: A Comparative Study and New Results. Pattern Recognition 24, 1117–1138 (1991)
Mokhtarian, F., Bober, M.: Curvature scale space representation: Theory application and MPEG-7 standardization. Kluwer Academic Publishers, Boston (2003)
Wallace, T.P., Wintz, P A: An efficient three dimensional aircraft recognition algorithm using normalized Fourier descriptors. Computer Graphics and Image Processing 13, 99–126 (1991)
Abbasi, S., Mokhtarian, F., Kittler, J.: Curvature Scale Space Image in Shape Similarity Retrieval. Multimedia Systems 7, 467–476 (1999)
Chauang, G., Kuo, C.: Wavelet descriptor of planar curves: Theory and applications. IEEE Transaction on Image Processing 5, 56–70 (1996)
Adamek, T., O’Connor, N.E.: A Multiscale Representation Method for Nonrigid Shapes with a Single Closed Contour. IEEE Transactions on Pattern Analysis and Machine Intelligence 14, 742–753 (1996)
Zhang, D.S., Lu, G.: Study and Evaluation of Different Fourier Methods for Image Retrieval. International Journal of Computer Vision 23, 33–49 (1996)
Kim, W., Kim, Y.: A region-based shape descriptor using Zernike moments. Signal Processing: Image Communication 16, 95–102 (1996)
El Rube, I., Alajlan, N., Kamel, M.S., Ahmed, M., Freeman, G.: Efficient Multiscale Shape-Based Representation and Retrieval. In: Kamel, M., Campilho, A. (eds.) ICIAR 2005. LNCS, vol. 3656, pp. 415–422. Springer, Heidelberg (2005)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
El-ghazal, A., Basir, O., Belkasim, S. (2007). Shape-Based Image Retrieval Using Pair-Wise Candidate Co-ranking. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2007. Lecture Notes in Computer Science, vol 4633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74260-9_58
Download citation
DOI: https://doi.org/10.1007/978-3-540-74260-9_58
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74258-6
Online ISBN: 978-3-540-74260-9
eBook Packages: Computer ScienceComputer Science (R0)