FUZZY UNCERTAINTY TEXTURE SPECTRUM FOR TEXTURE ANALYSIS
| dc.citation.epage | 960 | en_US |
| dc.citation.issue | 12 | en_US |
| dc.citation.spage | 959 | en_US |
| dc.citation.volume | 31 | en_US |
| dc.citation.woscount | 6 | |
| dc.contributor.author | LEE, YG | en_US |
| dc.contributor.author | LEE, JH | 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 | 2014-12-08T15:03:19Z | |
| dc.date.available | 2014-12-08T15:03:19Z | |
| dc.date.issued | 1995-06-08 | en_US |
| dc.description.abstract | A new method using fuzzy uncertainty, which measures the uncertainty of the uniform surface in an image, is proposed for texture analysis. A grey-scale image can be transformed into a fuzzy image by the uncertainty definition. The distribution of the membership in a measured fuzzy image, denoted the fuzzy uncertainty texture spectrum (FUTS), is used as the texture feature for texture analysis. | en_US |
| dc.identifier.doi | 10.1049/el:19950665 | en_US |
| dc.identifier.issn | 0013-5194 | en_US |
| dc.identifier.journal | ELECTRONICS LETTERS | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1049/el:19950665 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/1859 | |
| dc.identifier.wosnumber | WOS:A1995RE97100020 | |
| dc.language.iso | en_US | en_US |
| dc.subject | FUZZY SET THEORY | en_US |
| dc.subject | TEXTURE (IMAGE PROCESSING) | en_US |
| dc.title | FUZZY UNCERTAINTY TEXTURE SPECTRUM FOR TEXTURE ANALYSIS | en_US |
| dc.type | Article | en_US |