By Topic

The properties and training of a neural network based universal window filter (UWF)

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
$33 $33
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

3 Author(s)
R. H. Pugmire ; Dept. of Production Technol., Massey Univ., Palmerston North, New Zealand ; R. M. Hodgson ; R. I. Chaplin

Window filters are extensively used in image processing for reducing noise, enhancing contrast, edge detection and other pre-processing operations. This paper describes the development of a general purpose filter. The performance of the filter on simple emulation tasks, and the subsequent development of improved training methods based on an analogy to the task of training people to perform complex tasks

Published in:

Image Processing and its Applications, 1995., Fifth International Conference on

Date of Conference:

4-6 Jul 1995