Paper
2 July 1998 Rotation-invariant pattern recognition using circular harmonics and synthetic discriminant functions
Author Affiliations +
Proceedings Volume 3405, ROMOPTO '97: Fifth Conference on Optics; (1998) https://doi.org/10.1117/12.312785
Event: ROMOPTO '97: Fifth Conference on Optics, 1997, Bucharest, Romania
Abstract
The use of circular harmonics to design correlation filters represents one of the most powerful approach in one-target recognition with in-plane rotation invariance. Recognition of more than one target can be achieved, on the other hand, using synthetic discriminant functions. In this paper we describe how can be combined these two techniques to design a filter which ensures rotation invariant recognition of multiple targets in parallel. The usefulness of the filter is demonstrated, for the case of two targets, by experimental results obtained from computer simulations.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dan Cojoc "Rotation-invariant pattern recognition using circular harmonics and synthetic discriminant functions", Proc. SPIE 3405, ROMOPTO '97: Fifth Conference on Optics, (2 July 1998); https://doi.org/10.1117/12.312785
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KEYWORDS
Image filtering

Pattern recognition

Target recognition

Detection and tracking algorithms

Electronic filtering

Optical correlators

Computer simulations

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