DC Field | Value | Language |
---|---|---|
dc.contributor.author | HAN, JH | - |
dc.contributor.author | KOCZY, LT | - |
dc.contributor.author | POSTON, T | - |
dc.date.accessioned | 2016-03-31T14:37:04Z | - |
dc.date.available | 2016-03-31T14:37:04Z | - |
dc.date.created | 2009-03-18 | - |
dc.date.issued | 1994-07 | - |
dc.identifier.issn | 0167-8655 | - |
dc.identifier.other | 1994-OAK-0000008930 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/21937 | - |
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. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.relation.isPartOf | PATTERN RECOGNITION LETTERS | - |
dc.title | FUZZY HOUGH TRANSFORM | - |
dc.type | Article | - |
dc.contributor.college | 컴퓨터공학과 | - |
dc.identifier.doi | 10.1016/0167-8655(94)90068-X | - |
dc.author.google | HAN, JH | - |
dc.author.google | KOCZY, LT | - |
dc.author.google | POSTON, T | - |
dc.relation.volume | 15 | - |
dc.relation.startpage | 649 | - |
dc.relation.lastpage | 658 | - |
dc.contributor.id | 10077431 | - |
dc.relation.journal | PATTERN RECOGNITION LETTERS | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCIE | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | PATTERN RECOGNITION LETTERS, v.15, no.7, pp.649 - 658 | - |
dc.identifier.wosid | A1994NX01400002 | - |
dc.citation.endPage | 658 | - |
dc.citation.number | 7 | - |
dc.citation.startPage | 649 | - |
dc.citation.title | PATTERN RECOGNITION LETTERS | - |
dc.citation.volume | 15 | - |
dc.contributor.affiliatedAuthor | HAN, JH | - |
dc.identifier.scopusid | 2-s2.0-0028464052 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 32 | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | HOUGH TRANSFORM | - |
dc.subject.keywordAuthor | SHAPE DETECTION | - |
dc.subject.keywordAuthor | FUZZY GEOMETRY | - |
dc.subject.keywordAuthor | FUZZY HOUGH TRANSFORM | - |
dc.subject.keywordAuthor | DISTRIBUTED VOTING | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
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