Competitively coupled orientation selective cellular neural networks
Related Collections
Degree type
Discipline
Subject
competition
Gabor filters
image processing
orientation-selective filters
Funder
Grant number
License
Copyright date
Distributor
Related resources
Author
Contributor
Abstract
We extend previous work in orientation selective cellular neural networks to include competitive couplings between different layers tuned to different orientations and spatial frequencies. The presence of these interactions sharpens the spatial frequency tuning of the filters in two ways, when compared to a similar architecture proposed previously which lacks these interactions. The first is the introduction of nulls in the frequency response. The second is the introduction of constraints on the passbands of the coupled layers. Based on an understanding of these two effects, we propose a method for choosing spatial frequency tunings of the individual layers to enhance orientation selectivity in the coupled system.
Advisor
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Publication date
Journal title
Volume number
Issue number
Publisher
Publisher DOI
Comments
Copyright 2002 IEEE. Reprinted from IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, Volume 49, Issue 3, March 2002, pages 388-394. Publisher URL: http://ieeexplore.ieee.org/xpl/tocresult.jsp?isNumber=21319&page=1 This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.