Chan-Vese Segmentation Model For Faster And Accurate Evaluation of Yarn Packing Density

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dc.contributor.authorEldessouki Mohamedcs
dc.contributor.authorEldessouki Mohamedcs
dc.contributor.authorIbrahim Sayedcs
dc.date.accessioned2018-09-25T12:07:12Z
dc.date.available2018-09-25T12:07:12Z
dc.date.issued2016cs
dc.format.extent11cs
dc.identifier.doi10.1177/0040517514557314
dc.identifier.issn0040-5175cs
dc.identifier.urihttps://dspace.tul.cz/handle/15240/30160
dc.language.isoengcs
dc.publisherSAGE PUBLICATIONS LTDcs
dc.publisher.cityLondoncs
dc.relation.ispartofseries0cs
dc.relation.urihttp://journals.sagepub.com/doi/abs/10.1177/0040517514557314cs
dc.subjectchan-Vese modelcs
dc.subjectradial packing densitycs
dc.subjectsegmentationcs
dc.subjectyarn effective packing densitycs
dc.subjectyarn cross-sectional image analysiscs
dc.titleChan-Vese Segmentation Model For Faster And Accurate Evaluation of Yarn Packing Densityen
dc.titleChan-Vese Segmentation Model For Faster And Accurate Evaluation of Yarn Packing Densitycs
local.citation.epage167-177cs
local.citation.spage167-177cs
local.identifier.publikace3595
local.identifier.wok000369996000006en
local.relation.issue2cs
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