OSA's Digital Library

Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Vol. 20, Iss. 4 — Apr. 1, 2003
  • pp: 631–637

Multidistortion-invariant image recognition with radial harmonic Fourier moments

Haiping Ren, Ziliang Ping, Wurigen Bo, Wenkai Wu, and Yunlong Sheng  »View Author Affiliations


JOSA A, Vol. 20, Issue 4, pp. 631-637 (2003)
http://dx.doi.org/10.1364/JOSAA.20.000631


View Full Text Article

Acrobat PDF (560 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

We propose radial harmonic Fourier moments, which are shifting, scaling, rotation, and intensity invariant. Compared with Chebyshev–Fourier moments, the new moments have superior performance near the origin and better ability to describe small images in terms of image-reconstruction errors and noise sensitivity. A multidistortion-invariant pattern-recognition experiment was performed with radial harmonic Fourier moments.

© 2003 Optical Society of America

OCIS Codes
(070.0070) Fourier optics and signal processing : Fourier optics and signal processing
(100.0100) Image processing : Image processing
(110.0110) Imaging systems : Imaging systems
(150.0150) Machine vision : Machine vision
(200.0200) Optics in computing : Optics in computing

Citation
Haiping Ren, Ziliang Ping, Wurigen Bo, Wenkai Wu, and Yunlong Sheng, "Multidistortion-invariant image recognition with radial harmonic Fourier moments," J. Opt. Soc. Am. A 20, 631-637 (2003)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-20-4-631


Sort:  Author  |  Year  |  Journal  |  Reset

References

  1. R. J. Prokop and A. P. Reeves, “A survey of moment-based techniques for unocculuded object representation and recognition,” Graph. Models Image Process. 54, 438–460 (1992).
  2. M. K. Hu, “Visual pattern recognition by moment invariants,” IEEE Trans. Inf. Theory IT-8, 179–187 (1962).
  3. M. R. Teague, “Image analysis via the general theory of moments,” J. Opt. Soc. Am. 70, 920–930 (1980).
  4. Y. L. Sheng and L. X. Shen, “Orthogonal Fourier–Mellin moments for invariant pattern recognition,” J. Opt. Soc. Am. A 11, 1748–1757 (1994).
  5. Z. L. Ping, R. G. Wu, and Y. L. Sheng, “Image description with Chebyshev–Fourier moments,” J. Opt. Soc. Am. A 19, 1748–1754 (2002).
  6. C. H. Teh and R. T. Chin, “On image analysis by the methods of moments,” IEEE Trans. Pattern Anal. Mach. Intell. 10, 496–513 (1988).
  7. S. X. Liao and M. Pawlak, “On image analysis by moments,” IEEE Trans. Pattern Anal. Mach. Intell. 18, 254–266 (1996).

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.


« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited