{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T17:40:38Z","timestamp":1772300438022,"version":"3.50.1"},"reference-count":33,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2023,11,16]],"date-time":"2023-11-16T00:00:00Z","timestamp":1700092800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62305255"],"award-info":[{"award-number":["62305255"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2022CFB537"],"award-info":[{"award-number":["2022CFB537"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["Q20221706"],"award-info":[{"award-number":["Q20221706"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Hubei Provincial Natural Science Foundation General Project","award":["62305255"],"award-info":[{"award-number":["62305255"]}]},{"name":"Hubei Provincial Natural Science Foundation General Project","award":["2022CFB537"],"award-info":[{"award-number":["2022CFB537"]}]},{"name":"Hubei Provincial Natural Science Foundation General Project","award":["Q20221706"],"award-info":[{"award-number":["Q20221706"]}]},{"name":"Hubei Provincial Department of Education Science and Technology Research Program Youth Talent","award":["62305255"],"award-info":[{"award-number":["62305255"]}]},{"name":"Hubei Provincial Department of Education Science and Technology Research Program Youth Talent","award":["2022CFB537"],"award-info":[{"award-number":["2022CFB537"]}]},{"name":"Hubei Provincial Department of Education Science and Technology Research Program Youth Talent","award":["Q20221706"],"award-info":[{"award-number":["Q20221706"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Imaging"],"abstract":"<jats:p>To digital grade the staining color fastness of fabrics after rubbing, an automatic grading method based on spectral reconstruction technology and BP neural network was proposed. Firstly, the modeling samples are prepared by rubbing the fabrics according to the ISO standard of 105-X12. Then, to comply with visual rating standards for color fastness, the modeling samples are professionally graded to obtain the visual rating result. After that, a digital camera is used to capture digital images of the modeling samples inside a closed and uniform lighting box, and the color data values of the modeling samples are obtained through spectral reconstruction technology. Finally, the color fastness prediction model for rubbing was constructed using the modeling samples data and BP neural network. The color fastness level of the testing samples was predicted using the prediction model, and the prediction results were compared with the existing color difference conversion method and gray scale difference method based on the five-fold cross-validation strategy. Experiments show that the prediction model of fabric color fastness can be better constructed using the BP neural network. The overall performance of the method is better than the color difference conversion method and the gray scale difference method. It can be seen that the digital rating method of fabric staining color fastness to rubbing based on spectral reconstruction and BP neural network has high consistency with the visual evaluation, which will help for the automatic color fastness grading.<\/jats:p>","DOI":"10.3390\/jimaging9110251","type":"journal-article","created":{"date-parts":[[2023,11,16]],"date-time":"2023-11-16T07:11:27Z","timestamp":1700118687000},"page":"251","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Digital Grading the Color Fastness to Rubbing of Fabrics Based on Spectral Reconstruction and BP Neural Network"],"prefix":"10.3390","volume":"9","author":[{"given":"Jinxing","family":"Liang","sequence":"first","affiliation":[{"name":"School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan 430200, China"},{"name":"School of Automation, Qingdao University, Qingdao 266071, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan 430200, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinrong","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan 430200, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hang","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan 430200, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3487-2010","authenticated-orcid":false,"given":"Genyang","family":"Cao","sequence":"additional","affiliation":[{"name":"School of Textile Science and Engineering, Wuhan Textile University, Wuhan 430200, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liu","family":"Liu","sequence":"additional","affiliation":[{"name":"Analysis and Testing Center, Wuhan Textile University, Wuhan 430200, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7197-7159","authenticated-orcid":false,"given":"Kaida","family":"Xiao","sequence":"additional","affiliation":[{"name":"School of Design, University of Leeds, Leeds LS2 9JT, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,11,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1889","DOI":"10.1177\/0040517521992366","article-title":"Support vector machine classification model for color fastness to ironing of vat dyes","volume":"91","author":"Yu","year":"2021","journal-title":"Text. 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