dc.contributor.author | Osadebey, Michael | |
dc.contributor.author | Pedersen, Marius | |
dc.contributor.author | Waaler, Dag | |
dc.date.accessioned | 2020-03-20T09:54:08Z | |
dc.date.available | 2020-03-20T09:54:08Z | |
dc.date.created | 2020-02-03T08:04:16Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | IEEE Conference on Industrial Informatics. 2019, 1211-1216. | en_US |
dc.identifier.issn | 1935-4576 | |
dc.identifier.uri | https://hdl.handle.net/11250/2647746 | |
dc.language.iso | eng | en_US |
dc.publisher | IEEE | en_US |
dc.title | Plant Leaves Region Segmentation in Cluttered and Occluded Images Using Perceptual Color Space and K-means-Derived Threshold with Set Theory | en_US |
dc.type | Journal article | en_US |
dc.type | Peer reviewed | en_US |
dc.description.version | acceptedVersion | en_US |
dc.source.pagenumber | 1211-1216 | en_US |
dc.source.journal | IEEE Conference on Industrial Informatics | en_US |
dc.identifier.doi | 10.1109/INDIN41052.2019.8972056 | |
dc.identifier.cristin | 1789983 | |
dc.description.localcode | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works | en_US |
cristin.unitcode | 194,63,10,0 | |
cristin.unitcode | 194,65,70,0 | |
cristin.unitname | Institutt for datateknologi og informatikk | |
cristin.unitname | Institutt for helsevitenskap Gjøvik | |
cristin.ispublished | true | |
cristin.fulltext | preprint | |
cristin.qualitycode | 1 | |