OSA's Digital Library

Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 24, Iss. 2 — Jan. 15, 1985
  • pp: 179–184

Rotation-invariant pattern recognition using optimum feature extraction

Ronald Wu and Henry Stark  »View Author Affiliations


Applied Optics, Vol. 24, Issue 2, pp. 179-184 (1985)
http://dx.doi.org/10.1364/AO.24.000179


View Full Text Article

Enhanced HTML    Acrobat PDF (935 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

In this paper we consider the problem of detecting a target regardless of its orientation when it is known that the target must be from one of two classes. We assume significant random intraclass variability, a complication which requires techniques from statistical pattern recognition for amelioration. The Foley-Sammon transformation for selecting optimum features from random training samples is used to solve the problem.

© 1985 Optical Society of America

History
Original Manuscript: July 27, 1984
Published: January 15, 1985

Citation
Ronald Wu and Henry Stark, "Rotation-invariant pattern recognition using optimum feature extraction," Appl. Opt. 24, 179-184 (1985)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-24-2-179


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. D. Casasent, D. Psaltis, “Position, Rotation, and Scale Invariant Optical Correlation,” Appl. Opt. 15, 1795 (1976). [CrossRef] [PubMed]
  2. The problem of scale invariance was also considered in Ref. 1. We shall consider this issue in a subsequent paper.
  3. Y-N. Hsu, H. H. Arsenault, G. April, “Rotation-Invariant, Digital Pattern Recognition Using Circular Harmonic Expansion,” Appl. Opt. 21, 4012 (1982). [CrossRef] [PubMed]
  4. Y-N. Hsu, H. H. Arsenault, “Optical Pattern Recognition Using Circular Harmonic Expansion,” Appl. Opt. 21, 4016 (1982). [CrossRef] [PubMed]
  5. H. H. Arsenault, Y-N. Hsu, “Rotation-Invariant Discrimination Between Almost Similar Objects,” Appl. Opt. 22, 130 (1983). [CrossRef] [PubMed]
  6. E. G. Paek, S. S. Lee, “Discrimination Enhancement in Optical Pattern Recognition by Using a Modified Matched Filter,” Can. J. Phys. 57, 1335 (1979). [CrossRef]
  7. R. Wu, H. Stark, “Rotation-Invariant Pattern Recognition Using a Vector Reference,” Appl. Opt. 23, 838 (1984). [CrossRef] [PubMed]
  8. K. Fukunaga, Introduction to Statistical Pattern Recognition (Academic, New York, 1972), p. 261.
  9. D. H. Foley, J. W. Sammon, “An Optimal Set of Discriminant Vectors,” IEEE Trans. Comput. C-24, 281 (1975). [CrossRef]
  10. H. Stark, D. Lee, “An Optical-Digital Approach to the Pattern Recognition of Coal-Workers' Pneumoconiosis,” IEEE Trans. Syst. Man Cybern. SMC-6, 788 (1976).
  11. R. K. O'Toole, H. Stark, “Comparative Study of Optical-Digital vs All-Digital Techniques in Textural Pattern Recognition,” Appl. Opt. 19, 2496 (1980). [CrossRef]
  12. The regions {C} are M-dimensional parallelepipeds whose dimensions along different coordinates are determined from the training samples. Typically each side of this hyperbox is centered at the projected center on that coordinate and has dimension 2σ where σ is the standard deviation of the projected samples along the same coordinate.

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