Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Use of the Hough transformation to detect lines and curves in pictures

Use of the Hough transformation to detect lines and curves in pictures Hough has proposed an interesting and computationally efficient procedure for detecting lines in pictures. This paper points out that the use of angle-radius rather than slope-intercept parameters simplifies the computation further. It also shows how the method can be used for more general curve fitting, and gives alternative interpretations that explain the source of its efficiency. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Communications of the ACM Association for Computing Machinery

Use of the Hough transformation to detect lines and curves in pictures

Duda, Richard O.; Hart, Peter E.
Communications of the ACM , Volume 15 (1) – Jan 1, 1972
Download PDF
5 pages

Loading next page...
 
/lp/association-for-computing-machinery/use-of-the-hough-transformation-to-detect-lines-and-curves-in-pictures-Chit70UxtT

References (5)

Publisher
Association for Computing Machinery
Copyright
Copyright © 1972 by ACM Inc.
ISSN
0001-0782
DOI
10.1145/361237.361242
Publisher site
See Article on Publisher Site

Abstract

Hough has proposed an interesting and computationally efficient procedure for detecting lines in pictures. This paper points out that the use of angle-radius rather than slope-intercept parameters simplifies the computation further. It also shows how the method can be used for more general curve fitting, and gives alternative interpretations that explain the source of its efficiency.

Journal

Communications of the ACM – Association for Computing Machinery

Published: Jan 1, 1972

There are no references for this article.