Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/111178
DC Field | Value | |
---|---|---|
dc.title | Fuzzy Hough transform | |
dc.contributor.author | Han, J.H. | |
dc.contributor.author | Kóczy, LszlT. | |
dc.contributor.author | Poston, T. | |
dc.date.accessioned | 2014-11-27T09:45:26Z | |
dc.date.available | 2014-11-27T09:45:26Z | |
dc.date.issued | 1994-07 | |
dc.identifier.citation | Han, J.H.,Kóczy, LszlT.,Poston, T. (1994-07). Fuzzy Hough transform. Pattern Recognition Letters 15 (7) : 649-658. ScholarBank@NUS Repository. | |
dc.identifier.issn | 01678655 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/111178 | |
dc.description.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. | |
dc.source | Scopus | |
dc.subject | Distributed voting | |
dc.subject | Fuzzy geometry | |
dc.subject | Fuzzy Hough transform | |
dc.subject | Hough transform | |
dc.subject | Shape detection | |
dc.type | Article | |
dc.contributor.department | INSTITUTE OF SYSTEMS SCIENCE | |
dc.description.sourcetitle | Pattern Recognition Letters | |
dc.description.volume | 15 | |
dc.description.issue | 7 | |
dc.description.page | 649-658 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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