Fuzzy logic approach for removing noise
| dc.citation.epage | 355 | en_US |
| dc.citation.issue | 3 | en_US |
| dc.citation.spage | 349 | en_US |
| dc.citation.volume | 9 | en_US |
| dc.citation.woscount | 5 | |
| dc.contributor.author | Lee, YG | en_US |
| dc.contributor.author | Hsueh, YC | en_US |
| dc.contributor.department | 交大名義發表 | zh_TW |
| dc.contributor.department | 資訊工程學系 | zh_TW |
| dc.contributor.department | National Chiao Tung University | en_US |
| dc.contributor.department | Department of Computer Science | en_US |
| dc.date.accessioned | 2014-12-08T15:03:02Z | |
| dc.date.available | 2014-12-08T15:03:02Z | |
| dc.date.issued | 1995-12-01 | en_US |
| dc.description.abstract | This paper shows how fuzzy reasoning techniques can be applied on smoothing filters design. It uses the fuzzy concept to decide whether a pixel in an image is a noise one or not in order to achieve maximum noise reduction in uniform areas and preserve details as well. | en_US |
| dc.identifier.doi | 10.1016/0925-2312(95)00085-3 | en_US |
| dc.identifier.issn | 0925-2312 | en_US |
| dc.identifier.journal | NEUROCOMPUTING | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1016/0925-2312(95)00085-3 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/1628 | |
| dc.identifier.wosnumber | WOS:A1995TK70800006 | |
| dc.language.iso | en_US | en_US |
| dc.subject | smoothing | en_US |
| dc.subject | fuzzy reasoning | en_US |
| dc.subject | uniform surface uncertainty | en_US |
| dc.subject | fuzzy image | en_US |
| dc.title | Fuzzy logic approach for removing noise | en_US |
| dc.type | Letter | en_US |