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

A Hough transform algorithm with a 2D hypothesis testing kernel

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

3 Author(s)
Palmer, P.L. ; Dept. of Electron. & Electr. Eng., Surrey Univ., Guildford, UK ; Kittler, J. ; Petrou, M.

It is advantageous to use edge orientation information from an edge detector when trying to find lines in an image using a Hough transform algorithm. Such methods have to balance between two competing problems: (1) to reduce interference between different line segments in the image; and (2) to allow for increased orientation uncertainties particularly near junctions of lines. To counter both these problems the authors show that a smooth voting kernel which is a function of differences both in orientation and distance from the line, can give superior results. They compare these results with the results obtained from using the standard Hough implementation as well as an implementation with a kernel which varies smoothly with separation but remains independent of differences in orientation

Published in:

Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on

Date of Conference:

30 Aug-3 Sep 1992

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.