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.

Keywords

Hough transformComputationTransformation (genetics)Computer scienceRADIUSComputer visionArtificial intelligenceComputer graphics (images)AlgorithmCurve fittingGeometryMathematicsImage (mathematics)

Affiliated Institutions

Related Publications

Publication Info

Year
1972
Type
article
Volume
15
Issue
1
Pages
11-15
Citations
6399
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

6399
OpenAlex

Cite This

Richard O. Duda, Peter E. Hart (1972). Use of the Hough transformation to detect lines and curves in pictures. Communications of the ACM , 15 (1) , 11-15. https://doi.org/10.1145/361237.361242

Identifiers

DOI
10.1145/361237.361242