GENETIC-BASED FUZZY HIT-OR-MISS TEXTURE SPECTRUM FOR TEXTURE ANALYSIS
| dc.citation.epage | 1988 | en_US |
| dc.citation.issue | 23 | en_US |
| dc.citation.spage | 1986 | en_US |
| dc.citation.volume | 31 | en_US |
| dc.citation.woscount | 4 | |
| 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 | 2014-12-08T15:03:04Z | |
| dc.date.available | 2014-12-08T15:03:04Z | |
| dc.date.issued | 1995-11-09 | en_US |
| dc.description.abstract | A new method using a fuzzy hit-or-miss transform recognition procedure, which measures degrees of fit of specified patterns within an image, is proposed for texture analysis. For a given texture, three optimal texture patterns (structuring elements) dynamically generated by genetic algorithms are used to inspect the degrees of fit by using the fuzzy hit-or-miss transform, respectively. The distribution of these degrees of fit, converted into a texture spectrum, is used as the texture feature for texture analysis. | en_US |
| dc.identifier.doi | 10.1049/el:19951398 | 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:19951398 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/1658 | |
| dc.identifier.wosnumber | WOS:A1995TF16300016 | |
| dc.language.iso | en_US | en_US |
| dc.subject | GENETIC ALGORITHMS | en_US |
| dc.subject | TEXTURE (IMAGE PROCESSING) | en_US |
| dc.title | GENETIC-BASED FUZZY HIT-OR-MISS TEXTURE SPECTRUM FOR TEXTURE ANALYSIS | en_US |
| dc.type | Article | en_US |