Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/105060
DC Field | Value | Language |
---|---|---|
dc.contributor | School of Design | - |
dc.creator | Wang, J | - |
dc.creator | Zhang, J | - |
dc.creator | Wang, L | - |
dc.creator | Pan, R | - |
dc.creator | Zhou, J | - |
dc.creator | Gao, W | - |
dc.date.accessioned | 2024-04-03T01:46:01Z | - |
dc.date.available | 2024-04-03T01:46:01Z | - |
dc.identifier.issn | 0040-5000 | - |
dc.identifier.uri | http://hdl.handle.net/10397/105060 | - |
dc.language.iso | en | en_US |
dc.publisher | Routledge, Taylor & Francis Group | en_US |
dc.rights | © 2020 The Textile Institute | en_US |
dc.rights | This is an Accepted Manuscript of an article published by Taylor & Francis in The Journal of The Textile Institute on 11 Mar 2020 (published online), available at: http://www.tandfonline.com/10.1080/00405000.2020.1738029. | en_US |
dc.subject | Layout of color yarns | en_US |
dc.subject | Misarranged color yarns | en_US |
dc.subject | Yarn layout proofing | en_US |
dc.subject | Yarn-dyed fabric | en_US |
dc.title | A computer vision-based system for automatic detection of misarranged color warp yarns in yarn-dyed fabric. Part III : yarn layout proofing | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 1614 | - |
dc.identifier.epage | 1622 | - |
dc.identifier.volume | 111 | - |
dc.identifier.issue | 11 | - |
dc.identifier.doi | 10.1080/00405000.2020.1738029 | - |
dcterms.abstract | This series of studies aims to develop a computer vision-based system for automatic detection of misarranged color warp yarns. This paper proposes a yarn layout proofing strategy, integrating with the warp yarn segmentation and fabric image stitching methods proposed in Part I and warp region segmentation method proposed in Part II, to achieve system automation. In the previous papers, the widths of warp regions and the layout of color yarns in the tested fabric stripe are extracted from the captured fabric frame images. In this paper, through analyzing different forms of misarranged color warps, a standard yarn layout-based proofing strategy is developed to detect the misarranged color warp yarns. Experiment results demonstrate that the proposed method is proposing for the layout proofing of color warp yarns in multicolor yarn-dyed fabrics of color stripes and color checks with satisfactory accuracy and good robustness. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Journal of the Textile Institute, 2020, v. 111, no. 11, p. 1614-1622 | - |
dcterms.isPartOf | Journal of the Textile Institute | - |
dcterms.issued | 2020 | - |
dc.identifier.scopus | 2-s2.0-85081564311 | - |
dc.identifier.eissn | 1754-2340 | - |
dc.description.validate | 202402 bckw | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | SD-0094 | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China; National Science Foundation of Jiangsu Province; China Postdoctoral Science Foundation Funded Project; Jiangsu Province Postdoctoral Science foundation | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 26673929 | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Zhang_Computer_Vision-Based_System.pdf | Pre-Published version | 979.74 kB | Adobe PDF | View/Open |
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