Design of distortion-invariant correlation filters using supervised learning

Samuel Peter Kozaitis; Rufus H. Cofer; Wesley E. Foor

doi:10.1117/12.160290

25 October 1993 Design of distortion-invariant correlation filters using supervised learning

Samuel Peter Kozaitis, Rufus H. Cofer, Wesley E. Foor

Proceedings Volume 1959, Optical Pattern Recognition IV; (1993) https://doi.org/10.1117/12.160290
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

We designed binary phase-only filters from a training set of images using a statistical approach. We forced images into clusters and designed filters to recognize objects from that cluster. We report on results obtained by computer simulation comparing the performance of filters to recognize objects from clusters of one and two classes.

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Samuel Peter Kozaitis, Rufus H. Cofer, and Wesley E. Foor "Design of distortion-invariant correlation filters using supervised learning", Proc. SPIE 1959, Optical Pattern Recognition IV, (25 October 1993); https://doi.org/10.1117/12.160290

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KEYWORDS

Image filtering

Signal to noise ratio

Spatial frequencies

Binary data

Electronic filtering

Optical pattern recognition

Phase only filters

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