Synthetic discriminant function (SDF) hardware optical realization with real-world nonideal optical and optoelectronic devices

Rutong Hong; Yonghong Li; Xucheng Lu; Wantao He

doi:10.1117/12.169419

1 March 1994 Synthetic discriminant function (SDF) hardware optical realization with real-world nonideal optical and optoelectronic devices

Rutong Hong, Yonghong Li, Xucheng Lu, Wantao He

Author Affiliations +

Proceedings Volume 2237, Optical Pattern Recognition V; (1994) https://doi.org/10.1117/12.169419
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

A new method is proposed to correct the nonlinear distortion of a practical hardware optical implementation system. The on-line optical-computer feedback technique and off-line digital iterative algorithm are used to correct the correlation matrix of a SDF and the input-output vector respectively. As a result, a optimum SDF with very good correlation S/N, minimum peak variance, is obtained. Experiments demonstrate that this method is very effective for correcting the nonlinear distortion of a real-world nonideal optical and optoelectric system, so it could be applied to 3D distortion invariant real-time optical correlation filtering and optical pattern recognition.

Citation Download Citation

Rutong Hong, Yonghong Li, Xucheng Lu, and Wantao He "Synthetic discriminant function (SDF) hardware optical realization with real-world nonideal optical and optoelectronic devices", Proc. SPIE 2237, Optical Pattern Recognition V, (1 March 1994); https://doi.org/10.1117/12.169419

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available