Abstract
Wavelets have been shown to be an effective analysis tool for image indexing due to the fact that spatial information and visual features of images could be well captured in just a few dominant wavelet coefficients. A serious problem with current wavelet-based techniques is in the handling of affine transformations in the query image. In this work, to cure the problem of translation variance with wavelet basis transform while keeping a compact representation, the wavelet transform modulus maxima is employed. To measure the similarity between wavelet maxima representations, which is required in the context of image retrieval systems, the difference of moments is used. As a result, each image is indexed by a vector in the wavelet maxima moment space. Those extracted features are shown to be robust in searching for objects independently of position, size, orientation and image background.
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
C. Carson, S. Belongie, H. Greenspan, and J. Malik. Region-based image querying. In IEEE Workshop on Content-based Access of Image and Video Libraries, Puerto Rico, June 1997.
M. Flickner et al. Query by image and video content: The QBIC system. Computer, pages 23–32, September 1995.
M.-K. Hu. Visual pattern recognition by moment invariants. IRE Trans. Info. Theory, IT-8:179–187, 1962.
C.E. Jacobs, A. Finkelstein, and D.H. Salesin. Fast multiresolution image querying. In Computer graphics proceeding of SIGGRAPH, pages 278–280, Los Angeles, 1995.
K.-C. Liang and C.-C. Jay Kuo. Progressive image indexing and retrieval based on embedded wavelet coding. In IEEE Int. Conf. on Image Proc., 1997.
W. Y. Ma and B. S. Manjunath. NETRA: A toolbox for navigating large image databases. In IEEE International Conference on Image Processing, 1997.
S. Mallat and S. Zhong. Characterization of signals from multiscale edges. IEEE Trans. Pattern Anal. Machine Intell., 14:710–732, July 1992.
A. Pentland, R.W. Piccard, and S. Sclaroff. Photobook: Content-based manipulation of image databases. International Journal of Computer Vision, 18(3):233–254, 1996.
J.R. Smith and S.-F. Chang. VisualSEEk: a fully automated content-based image query system. In Proc. The Fourth ACM International Multimedia Conference, pages 87–98, November 1996.
M. Stricker and M. Orengo. Similarity of color images. In Storage and Retrieval for Image and Video Databases III, volume 2420 of SPIE, pages 381–392, 1995.
M. Vetterli and J. Kovacevic. Wavelets and Subband Coding. Prentice-Hall, Inc, 1995.
J. Z. Wang, G. Wiederhold, O. Firschein, and S. X. Wei. Wavelet-based image indexing techniques with partial sketch retrieval capability. In Proceedings of 4th ADL Forum, May 1997.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Do, M., Ayer, S., Vetterli, M. (1999). Invariant Image Retrieval Using Wavelet Maxima Moment. In: Huijsmans, D.P., Smeulders, A.W.M. (eds) Visual Information and Information Systems. VISUAL 1999. Lecture Notes in Computer Science, vol 1614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48762-X_56
Download citation
DOI: https://doi.org/10.1007/3-540-48762-X_56
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66079-8
Online ISBN: 978-3-540-48762-3
eBook Packages: Springer Book Archive