Fuzzy Hough transform

Joon H. Han, L. Kóczy, Timothy Poston

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

46 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 - 1993
EventSecond IEEE International Conference on Fuzzy Systems - San Francisco, CA, USA
Duration: Mar 28 1993Apr 1 1993

Other

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

Fingerprint

Hough transforms

ASJC Scopus subject areas

  • Engineering(all)

Cite this

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

Fuzzy Hough transform. / Han, Joon H.; Kóczy, L.; Poston, Timothy.

1993 IEEE International Conference on Fuzzy Systems. Publ by IEEE, 1993. p. 803-808.

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

Han, JH, Kóczy, L & Poston, T 1993, Fuzzy Hough transform. in 1993 IEEE International Conference on Fuzzy Systems. Publ by IEEE, pp. 803-808, Second IEEE International Conference on Fuzzy Systems, San Francisco, CA, USA, 3/28/93.
Han JH, Kóczy L, Poston T. Fuzzy Hough transform. In 1993 IEEE International Conference on Fuzzy Systems. Publ by IEEE. 1993. p. 803-808
Han, Joon H. ; Kóczy, L. ; Poston, Timothy. / Fuzzy Hough transform. 1993 IEEE International Conference on Fuzzy Systems. Publ by IEEE, 1993. pp. 803-808
@inproceedings{329bebb08a8a40de9aafd3425a23a029,
title = "Fuzzy Hough transform",
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.",
author = "Han, {Joon H.} and L. K{\'o}czy and Timothy Poston",
year = "1993",
language = "English",
isbn = "0780306155",
pages = "803--808",
booktitle = "1993 IEEE International Conference on Fuzzy Systems",
publisher = "Publ by IEEE",

}

TY - GEN

T1 - Fuzzy Hough transform

AU - Han, Joon H.

AU - Kóczy, L.

AU - Poston, Timothy

PY - 1993

Y1 - 1993

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0027153638&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0027153638&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0027153638

SN - 0780306155

SP - 803

EP - 808

BT - 1993 IEEE International Conference on Fuzzy Systems

PB - Publ by IEEE

ER -