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Proceedings Paper

Hierarchical filter sets for distortion-invariant OPR
Author(s): David P. Casasent
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Paper Abstract

Our research group at Carnegie Mellon University has devised a large number of new distortion-invariant optical correlation filters. We briefly review our hierarchical inference approach to scene analysis, our minimum noise and correlation energy (MINACE) filters, the use of morphological hit-miss (rank-order) and MINACE filters for detection, and the use of MINACE filters with different control parameters c for all three levels of scene analysis (detection, recognition, identification). We then detail new generalized rotation-invariant filters with initial test results.

Paper Details

Date Published: 1 July 1992
PDF: 9 pages
Proc. SPIE 1701, Optical Pattern Recognition III, (1 July 1992); doi: 10.1117/12.138324
Show Author Affiliations
David P. Casasent, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 1701:
Optical Pattern Recognition III
David P. Casasent; Tien-Hsin Chao, Editor(s)

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