Please use this identifier to cite or link to this item:
Title: Fuzzy Hough transform
Authors: Han, J.H.
Kóczy, LszlT.
Poston, T. 
Keywords: Distributed voting
Fuzzy geometry
Fuzzy Hough transform
Hough transform
Shape detection
Issue Date: Jul-1994
Source: Han, J.H.,Kóczy, LszlT.,Poston, T. (1994-07). Fuzzy Hough transform. Pattern Recognition Letters 15 (7) : 649-658. ScholarBank@NUS Repository.
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. © 1994.
Source Title: Pattern Recognition Letters
ISSN: 01678655
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

checked on Mar 8, 2018

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.