Cart (Loading....) | Create Account
Close category search window
 

Vector morphology and iconic neural networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Wilson, S.S. ; Applied Intelligent Syst. Inc., Ann Arbor, MI, USA

Mathematical morphology involves the geometrical analysis of shapes and textures in images. Methods of generalizing morphology are presented, and it is shown that all common image-based operators are instances of two fundamental operators where voting logic is at a pivotal point. Another generalization leads to vector operators. A sequence of vector morphology operations is similar to a multiple-layer iconic neural network. In morphology, a new operator called a weighted rank order filter becomes apparent. It is noted that massively parallel, bit serial computer architectures are the most effective way to realize the various operations discussed

Published in:

Systems, Man and Cybernetics, IEEE Transactions on  (Volume:19 ,  Issue: 6 )

Date of Publication:

Nov/Dec 1989

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.