Fuzzy Hough transform

Joon H. Han, Laszlo T. Koczy, Timothy Poston

Research output: Chapter in Book/Report/Conference proceedingConference contribution

47 Citations (Scopus)

Abstract

To detect shapes in noisy data, the fuzzy Hough transform is introduced. This technique finds shapes by approximately fitting the data points, which avoids the spurious shapes detected when using the conventional Hough transform. An efficient implementation of this method is found in detecting lines and circles.

Original languageEnglish
Title of host publication1993 IEEE International Conference on Fuzzy Systems
PublisherPubl by IEEE
Pages803-808
Number of pages6
ISBN (Print)0780306155
Publication statusPublished - Jan 1 1993
EventSecond IEEE International Conference on Fuzzy Systems - San Francisco, CA, USA
Duration: Mar 28 1993Apr 1 1993

Publication series

Name1993 IEEE International Conference on Fuzzy Systems

Other

OtherSecond IEEE International Conference on Fuzzy Systems
CitySan Francisco, CA, USA
Period3/28/934/1/93

    Fingerprint

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Han, J. H., Koczy, L. T., & Poston, T. (1993). Fuzzy Hough transform. In 1993 IEEE International Conference on Fuzzy Systems (pp. 803-808). (1993 IEEE International Conference on Fuzzy Systems). Publ by IEEE.