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There are\nmany parameters of cross section which affect the physical and mechanical properties of textured yarns. These parameters\nare surface area, perimeter, equivalent diameter, large\ndiameter, small diameter, convexity, stiffness, eccentricity, and hydraulic diameter. These parameters were evaluated by\ndigital image processing techniques. To find trends between production criteria and evaluated parameters of cross section, three criteria of production line have been adjusted and different types of yarns were produced. These criteria are\ntemperature, drafting ratio, and D/Y ratio. Finally the relations between production criteria and cross section parameters were\nconsidered. The results showed that the presented technique can recognize and measure the parameters of fiber cross section in acceptable accuracy. Also, the optimum condition\nof adjustments has been estimated from results of image analysis evaluation.", "languages": [ { "id": "eng", "title": { "en": "English" } } ], "publication_date": "2009-01-28", "publisher": "Zenodo", "references": [ { "reference": "D.P. Thibodeaux, and J.P. Evans, Cotton Fiber Maturity by Image Analysis, Textile Res. J., Vol. 56, No. 2, 1986, pp. 130-139" }, { "reference": "B. Xu, B. Pourdeyhimi, Evaluating Maturity of Cotton Fibers Using Image Analysis: Definition and Algorithm, Textile Res. J., Vol 64, 1994,\npp. 330-335" }, { "reference": "T.Schneider, and D. Retting, Chances and Basic Conditions for Determining Cotton Maturity by Image Analysis, In proceedings of the international on cotton testing methods, Bremen, Germany, 1999,pp. 7172" }, { "reference": "J. Berlin, S. Worley, and H. Ramey, Measuring the Cross-Sectional Area of Cotton Fibers with an Image Analyzer, Textile Res. J., 51, 1981,pp. 109-113" }, { "reference": "J.J. Hebert, E.K. Boylston, and J.I. Wadsworth, Cross-Sectional Parameters of Cotton Fibers ,Textile Res. J., Vol. 49, No. 9, 1979, pp.\n540-542" }, { "reference": "B. Xu, B. Pourdeyhimi, and J. Sobus, Fiber Cross Sectional Shape\nAnalysis Using Image Analysis Techniques, Textile Res. J., Vol. 63, No. 12,1993, pp. 717-730" }, { "reference": "S. Chiu, J. Chen, and J. Lee, Fiber Recognition and Distribution Analysis of PET/Rayon Composite Yarn Cross Sections Using Image \nProcessing Techniques, Textile Res. J., Vol. 69, No. 6, 1999, pp. 417422" }, { "reference": "S. Chiu, and J. Liaw, Fiber Recognition of PET/Rayon Composite Yarn\nCross Sections Using Voting Techniques, Textile Res. J., Vol. 75, No. 5, 2005, pp. 442-448" }, { "reference": "B.K. Behera,\nImage Processing in Textiles, The Textile Institute 2004\n[10] T. Zhang, N. Sang, G. Wang, and X. Li, An effective method for identifying small objects on a complicated background, Artificial\nIntelligence in Engineering, 10 (4), 1996, pp. 343-349" } ], "resource_type": { "id": "publication-article", "title": { "de": "Zeitschriftenartikel", "en": "Journal article" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "Computer Vision" }, { "subject": "Cross Section Analysis" }, { "subject": "Fibers Deformation" }, { "subject": "Textured Yarn" } ], "title": "A Novel Computer Vision Method for Evaluating Deformations of Fibers Cross Section in False Twist Textured Yarns", "version": "5433" }, "parent": { "access": { "owned_by": { "user": "32148" } }, "communities": { "default": "a59dd046-9a86-4a47-97ce-b51f1bb8fc3f", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2017-05-31T21:24:26.028360+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "a59dd046-9a86-4a47-97ce-b51f1bb8fc3f", "links": {}, "metadata": { "curation_policy": "", "page": "", "title": "World Academy of Science, Engineering and Technology" }, "revision_id": 0, "slug": "waset", "updated": "2017-11-15T12:37:31.935319+00:00" } ], "ids": [ "a59dd046-9a86-4a47-97ce-b51f1bb8fc3f" ] }, "id": "1061043", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.1061043", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.1061044", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:1061044", "provider": "oai" } }, "revision_id": 8, "stats": { "all_versions": { "data_volume": 34022865.0, "downloads": 51, "unique_downloads": 50, "unique_views": 62, "views": 62 }, "this_version": { "data_volume": 34022865.0, "downloads": 51, "unique_downloads": 50, "unique_views": 62, "views": 62 } }, "status": "published", "swh": {}, "updated": "2024-08-03T00:05:58.725612+00:00", "versions": { "index": 1, "is_latest": true } }