Binarization of the joint transform correlator Fourier plane based on local window processing

Thomas J. Grycewicz

doi:10.1117/12.169432

1 March 1994 Binarization of the joint transform correlator Fourier plane based on local window processing

Thomas J. Grycewicz

Proceedings Volume 2237, Optical Pattern Recognition V; (1994) https://doi.org/10.1117/12.169432
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

One of the main factors determining the performance of a binary joint transform correlator is the method used to set the binarization threshold in the transform plane. An adaptive threshold can be set by computing the average of a small local window around each pixel. It is shown theoretically and verified experimentally that the optimum size of this window for a practical BJTC configuration is a single column wide and 3 - 5 pixels long. The detection peak amplitude in experimental runs using a local window was 2 - 4 times as large as in runs using the median of the Fourier plane as the threshold. Since these adaptive thresholds are easier to compute than the median of the entire Fourier plane, this technique can be used to improve BJTC performance while reducing system complexity.

Citation Download Citation

Thomas J. Grycewicz "Binarization of the joint transform correlator Fourier plane based on local window processing", Proc. SPIE 2237, Optical Pattern Recognition V, (1 March 1994); https://doi.org/10.1117/12.169432

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