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http://hdl.handle.net/11452/30039
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DC Field | Value | Language |
---|---|---|
dc.date.accessioned | 2022-12-22T07:43:16Z | - |
dc.date.available | 2022-12-22T07:43:16Z | - |
dc.date.issued | 2020-06-09 | - |
dc.identifier.citation | Süvari, F. (2021). "Image processing based drape measurement of fabrics using circular Hough transformation". Journal of the Textile Institute, 112(5), 846-854. | en_US |
dc.identifier.issn | 0040-5000 | - |
dc.identifier.issn | 1754-2340 | - |
dc.identifier.uri | https://doi.org/10.1080/00405000.2020.1782553 | - |
dc.identifier.uri | https://www.tandfonline.com/doi/full/10.1080/00405000.2020.1782553 | - |
dc.identifier.uri | http://hdl.handle.net/11452/30039 | - |
dc.description.abstract | The drape behaviour of fabric is regarded as an aesthetic property, especially in the apparel and home textile industries. It has an influence on how well the appearance of a fabric in the end use. Fabric drape testing instrument developed by Cusick has been commonly used for the objective measurement of fabric drape behaviour. The device and the classic cut-and-weigh procedure is still the standard method of measuring drape. This method needs consumables and skilled operator for drawing, cutting, and weighing operations. To eliminate the disadvantages of this conventional system, image processing algorithm based on the Circular Hough Transform is developed to calculate the drape coefficient of fabrics in this study. Various woven and knitted fabrics were tested by both the conventional and the developed image processing methods. Drape results obtained from both systems represented a very strong relationship with a correlation coefficient of 0.99. As a result, fast, accurate and robust objective fabric drape test method has been developed. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Taylor & Francis | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Hough transform | en_US |
dc.subject | Drape | en_US |
dc.subject | Fabric testing | en_US |
dc.subject | Image processing | en_US |
dc.subject | Behavior | en_US |
dc.subject | Materials science | en_US |
dc.subject | Appearance | en_US |
dc.subject | Cutting | en_US |
dc.subject | Fabric | en_US |
dc.subject | Measurement | en_US |
dc.subject | Processing | en_US |
dc.subject | Testing | en_US |
dc.subject | Weaving | en_US |
dc.subject | Weighing | en_US |
dc.subject | Feature extraction | en_US |
dc.subject | Hough transforms | en_US |
dc.subject | Instrument testing | en_US |
dc.subject | Knit fabrics | en_US |
dc.subject | Textile industry | en_US |
dc.subject | Weaving | en_US |
dc.subject | Aesthetic property | en_US |
dc.subject | Circular Hough transforms | en_US |
dc.subject | Conventional systems | en_US |
dc.subject | Correlation coefficient | en_US |
dc.subject | Hough transformation | en_US |
dc.subject | Image processing - methods | en_US |
dc.subject | Image processing algorithm | en_US |
dc.subject | Objective measurement | en_US |
dc.subject | Image processing | en_US |
dc.title | Image processing based drape measurement of fabrics using circular Hough transformation | en_US |
dc.type | Article | en_US |
dc.identifier.wos | 000549860800001 | tr_TR |
dc.identifier.scopus | 2-s2.0-85087458873 | tr_TR |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi | tr_TR |
dc.contributor.department | Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Tekstil Mühendisliği Bölümü. | tr_TR |
dc.contributor.orcid | 0000-0001-5708-7993 | tr_TR |
dc.identifier.startpage | 846 | tr_TR |
dc.identifier.endpage | 854 | tr_TR |
dc.identifier.volume | 112 | tr_TR |
dc.identifier.issue | 5 | tr_TR |
dc.relation.journal | Journal of the Textile Institute | en_US |
dc.contributor.buuauthor | Süvari, Fatih | - |
dc.contributor.researcherid | N-1770-2019 | tr_TR |
dc.subject.wos | Materials science, textiles | en_US |
dc.indexed.wos | SCIE | en_US |
dc.indexed.scopus | Scopus | en_US |
dc.wos.quartile | Q2 | en_US |
dc.contributor.scopusid | 55512827100 | tr_TR |
dc.subject.scopus | Fabric Drape; Hand; Wool Fibers | en_US |
Appears in Collections: | Web of Science |
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