Optical morphological correlation based on visual area coding technique

ShuQun Zhang; Mohammad A. Karim

doi:10.1117/12.408563

29 November 2000 Optical morphological correlation based on visual area coding technique

ShuQun Zhang, Mohammad A. Karim

Author Affiliations +

Proceedings Volume 4114, Photonic Devices and Algorithms for Computing II; (2000) https://doi.org/10.1117/12.408563
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

Nonlinear morphological correlation provides some better performances in pattern recognition than linear correlation. However, it requires considerable amount of computational effort to obtain the final result. An adaptive threshold decomposition technique is proposed to reduce the computation and increase the processing speed. Computer simulation shows that the proposed method yields similar results to the original morphological correlation but with much less computational effort. A visual-area-coding technique is proposed to implement the morphological correlation optically in a single step. This alternative optical implementation provides several advantages over the optical morphological correlation schemes.

Citation Download Citation

ShuQun Zhang and Mohammad A. Karim "Optical morphological correlation based on visual area coding technique", Proc. SPIE 4114, Photonic Devices and Algorithms for Computing II, (29 November 2000); https://doi.org/10.1117/12.408563

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