DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, TY | - |
dc.contributor.author | Han, JH | - |
dc.date.accessioned | 2016-03-31T13:47:13Z | - |
dc.date.available | 2016-03-31T13:47:13Z | - |
dc.date.created | 2009-03-18 | - |
dc.date.issued | 1998-11-16 | - |
dc.identifier.issn | 0165-0114 | - |
dc.identifier.other | 1998-OAK-0000000498 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/20584 | - |
dc.description.abstract | This paper proposes a representation of edges in blurred images using the concept of fuzzy sets when the images are degraded by various asymmetric and local blurring factors. The proposed representation is expressed by fuzzy membership functions, and it can serve as a relative index of blur. The membership function is derived from the distribution of intensity gradients and the symmetricity of gradient magnitudes, and the function is calculated directly from the blurred image without identifying the point spread function or restoring image. In this way, the fuzzy edge representation describes edges with their degradation states by fuzzy memberships instead of the binary description of edges. The index of fuzziness reflects the average amount of ambiguity presented in a fuzzy set, and the moments denote an object in the image quantitatively. These measures are adopted to illustrate the effectiveness of the representation in locally blurred images. (C) 1998 Elsevier Science B.V. All rights reserved. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.relation.isPartOf | FUZZY SETS AND SYSTEMS | - |
dc.subject | pattern recognition | - |
dc.subject | edge detection | - |
dc.subject | edge representation | - |
dc.subject | fuzzy geometry | - |
dc.subject | membership function | - |
dc.subject | blurred image | - |
dc.subject | SUBSETS | - |
dc.title | Edge representation with fuzzy sets in blurred images | - |
dc.type | Article | - |
dc.contributor.college | 컴퓨터공학과 | - |
dc.identifier.doi | 10.1016/s0165-0114(97)00190-5 | - |
dc.author.google | Kim, TY | - |
dc.author.google | Han, JH | - |
dc.relation.volume | 100 | - |
dc.relation.issue | 1-3 | - |
dc.relation.startpage | 77 | - |
dc.relation.lastpage | 87 | - |
dc.contributor.id | 10077431 | - |
dc.relation.journal | FUZZY SETS AND SYSTEMS | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCI | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | FUZZY SETS AND SYSTEMS, v.100, no.1-3, pp.77 - 87 | - |
dc.identifier.wosid | 000077238100007 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.endPage | 87 | - |
dc.citation.number | 1-3 | - |
dc.citation.startPage | 77 | - |
dc.citation.title | FUZZY SETS AND SYSTEMS | - |
dc.citation.volume | 100 | - |
dc.contributor.affiliatedAuthor | Han, JH | - |
dc.identifier.scopusid | 2-s2.0-0002847355 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 12 | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | pattern recognition | - |
dc.subject.keywordAuthor | edge detection | - |
dc.subject.keywordAuthor | edge representation | - |
dc.subject.keywordAuthor | fuzzy geometry | - |
dc.subject.keywordAuthor | membership function | - |
dc.subject.keywordAuthor | blurred image | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.relation.journalWebOfScienceCategory | Mathematics, Applied | - |
dc.relation.journalWebOfScienceCategory | Statistics & Probability | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Mathematics | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
library@postech.ac.kr Tel: 054-279-2548
Copyrights © by 2017 Pohang University of Science ad Technology All right reserved.