Window-size determination for granulometrical structural texture classification
| dc.citation.epage | 446 | en_US |
| dc.citation.issue | 5-6 | en_US |
| dc.citation.spage | 439 | en_US |
| dc.citation.volume | 19 | en_US |
| dc.citation.woscount | 6 | |
| dc.contributor.author | Jan, SR | en_US |
| dc.contributor.author | Hsueh, YC | en_US |
| dc.contributor.department | 資訊工程學系 | zh_TW |
| dc.contributor.department | Department of Computer Science | en_US |
| dc.date.accessioned | 2014-12-08T15:49:14Z | |
| dc.date.available | 2014-12-08T15:49:14Z | |
| dc.date.issued | 1998-04-01 | en_US |
| dc.description.abstract | In this paper we present a method to predict the window size when determining the local granulometry for a structural texture image set. The proposed method is based on the concept of periodicity property of structural texture images. It suggests that one may choose the minimum odd number not less than the maximum periods of texture images as a window size. (C) 1998 Elsevier Science B.V. All rights reserved. | en_US |
| dc.identifier.issn | 0167-8655 | en_US |
| dc.identifier.journal | PATTERN RECOGNITION LETTERS | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/32716 | |
| dc.identifier.wosnumber | WOS:000075054100007 | |
| dc.language.iso | en_US | en_US |
| dc.subject | granulometry | en_US |
| dc.subject | local granulometry size distribution | en_US |
| dc.subject | window size | en_US |
| dc.subject | structural texture | en_US |
| dc.subject | texture periodicity | en_US |
| dc.subject | covariance | en_US |
| dc.subject | co-occurrence matrix | en_US |
| dc.title | Window-size determination for granulometrical structural texture classification | en_US |
| dc.type | Article | en_US |