Pattern Recognition Based On The Triple Correlation

Adolf W. Lohmann

doi:10.1117/12.967263

1 January 1987 Pattern Recognition Based On The Triple Correlation

Adolf W. Lohmann

Proceedings Volume 0813, Optics and the Information Age; (1987) https://doi.org/10.1117/12.967263
Event: 14th Congress of the International Commission for Optics, 1987, Quebec, Canada

Abstract

In ordinary pattern recognition systems the input image is sent through a linear filter, such as a matched filter. The presence of the search pattern is identified as a peak in the output image. In some of the newer pattern recognition systems it is not the input image itself which is filtered. Instead, a "secondary signal" is tested by a suitable filtering process. A typical "secondary signal" is the power spectrum of the original input image. The power spectrum has lost the information of the location of the search pattern within the input. This loss of location information makes the job of signal processing easier, since the irrelevant data has been supressed. Hence, working with the power spectrum as a secondary signal is advantageous, provided the location of the search pattern is of no interest. Only the presence or absence of the search pattern has to be decided upon.

Citation Download Citation

Adolf W. Lohmann "Pattern Recognition Based On The Triple Correlation", Proc. SPIE 0813, Optics and the Information Age, (1 January 1987); https://doi.org/10.1117/12.967263

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