Using a genetic algorithm to adapt 1D nonlinear matched sieves for pattern classification in images

C. Jeremy Pye; J. Andrew Bangham

doi:10.1117/12.205252

28 March 1995 Using a genetic algorithm to adapt 1D nonlinear matched sieves for pattern classification in images

C. Jeremy Pye, J. Andrew Bangham

Proceedings Volume 2424, Nonlinear Image Processing VI; (1995) https://doi.org/10.1117/12.205252
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

Many methods have been developed to recognize objects in a scene; most involving a preprocessing step to extract local information from the image of the scene. The non-linear sieve decomposition has already been shown to be a successful low-level process in machine vision. Matched sieves, where the local granularity is compared to that of a template, are effective for locating and rejecting non-matching signals. A single example of the object to be located is used to build a granularity template. This is unnecessarily restrictive since there is no generalization over a training set of target patterns, nor is the template modified to account for granules that, because of noise, do not contribute to the classification process. This paper addresses the next step towards an automatic classifier based upon the sieve decomposition. A genetic algorithm is used to configure a population of templates. These templates are evaluated at every cycle in order to generalize the population over a series of target patterns, whilst rejecting noise.

Citation Download Citation

C. Jeremy Pye and J. Andrew Bangham "Using a genetic algorithm to adapt 1D nonlinear matched sieves for pattern classification in images", Proc. SPIE 2424, Nonlinear Image Processing VI, (28 March 1995); https://doi.org/10.1117/12.205252

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