Hierarchical Fisher And Moment-Based Pattern Recognition

David Casasent; R. Lee Cheatham

doi:10.1117/12.944841

4 December 1984 Hierarchical Fisher And Moment-Based Pattern Recognition

David Casasent, R. Lee Cheatham

Proceedings Volume 0504, Applications of Digital Image Processing VII; (1984) https://doi.org/10.1117/12.944841
Event: 28th Annual Technical Symposium, 1984, San Diego, United States

Abstract

A two-level feature extraction classifier using a geometrical-moment feature space is described for multi-class distortion-invariant pattern recognition. The first-level classifier provides object class and aspect estimates using multi-class Fisher projections and optimized two-class Fisher projections in a hierarchical classifier. Aspect estimates are provided from ratios of the computed moments. The second-level classifier provides the final class estimate, distortion parameter estimates and the confidence of the estimates. Extensive test results on a ship image database are presented.

Citation Download Citation

David Casasent and R. Lee Cheatham "Hierarchical Fisher And Moment-Based Pattern Recognition", Proc. SPIE 0504, Applications of Digital Image Processing VII, (4 December 1984); https://doi.org/10.1117/12.944841

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