Triple correlation for pattern recognition

S. H. Zheng; M. A. Karim; M. L. Gao

doi:10.1364/OAM.1991.ThMM22

Optical Society of America Annual Meeting
Technical Digest Series (Optica Publishing Group, 1991),
paper ThMM22
•https://doi.org/10.1364/OAM.1991.ThMM22

Triple correlation for pattern recognition

S. H. Zheng, M. A. Karim, and M. L. Gao

OSA Annual Meeting 1991

San Jose, California United States
3–8 November 1991
ISBN:

From the session
Poster Session: 2 (ThMM)

Open Access

Get PDF
Email
Share
Get Citation
Copy Citation Text
S. H. Zheng, M. A. Karim, and M. L. Gao, "Triple correlation for pattern recognition," in Optical Society of America Annual Meeting, Technical Digest Series (Optica Publishing Group, 1991), paper ThMM22.

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Citation alert
Save article

Abstract

The purpose of this study is to combine two valuable concepts: triple correlation and matched filtering. Triple correlation analysis is a method for restoring the quality of a disturbed signal or image. Matched filtering is useful for detecting the presence of a specific pattern within an environment of other patterns or noise.

PDF Article

More Like This

Optical scene preprocessing for correlator-based pattern recognition

Sherry A. Bergmann, Troy R. Norin, and Mark O. Freeman
ThL5 OSA Annual Meeting (FIO) 1991

Rotation invariant pattern recognition in the presence of signal-dependent noise

Jean-Christophe Terrillon and Henri H. Arsenault
ThX3 OSA Annual Meeting (FIO) 1991

A Figure of Merit for Pattern Recognition Filters

Ph. Refregier
ME27 Optical Computing (IP) 1991

Previous Article Next Article