Experimental and simulation studies on the performance of binary and gray-valued joint transform correlators under poor illumination conditions and nonoverlapping background noise

G. S. Pati; Kehar Singh

doi:10.1117/1.601398

1 July 1997 Experimental and simulation studies on the performance of binary and gray-valued joint transform correlators under poor illumination conditions and nonoverlapping background noise

G. S. Pati, Kehar Singh

Author Affiliations +

Optical Engineering, Vol. 36, Issue 7, (July 1997). https://doi.org/10.1117/1.601398

The correlation performance of four different types of joint transform correlators (JTCs) is investigated in a noncooperative situation when the target image is cluttered with scene noise and present under poor illumination condition. Computer simulation and experimental results are provided. Although the binary JTCs based on spatialfrequency- dependent threshold (SFDT), sliding-window local-median threshold (SWLMT) offer good correlation performance in poor target image illumination conditions their performance is affected in the presence of background noise in the target image. The JTC based on modified-fringe-adjusted filter (MFAF) performs better in such a combined situation.

Citation Download Citation

G. S. Pati and Kehar Singh "Experimental and simulation studies on the performance of binary and gray-valued joint transform correlators under poor illumination conditions and nonoverlapping background noise," Optical Engineering 36(7), (1 July 1997). https://doi.org/10.1117/1.601398

Published: 1 July 1997

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