{"id":"https://openalex.org/W4388734586","doi":"https://doi.org/10.3390/jimaging9110251","title":"Digital Grading the Color Fastness to Rubbing of Fabrics Based on Spectral Reconstruction and BP Neural Network","display_name":"Digital Grading the Color Fastness to Rubbing of Fabrics Based on Spectral Reconstruction and BP Neural Network","publication_year":2023,"publication_date":"2023-11-16","ids":{"openalex":"https://openalex.org/W4388734586","doi":"https://doi.org/10.3390/jimaging9110251","pmid":"https://pubmed.ncbi.nlm.nih.gov/37998098"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging9110251","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging9110251","pdf_url":"https://www.mdpi.com/2313-433X/9/11/251/pdf?version=1700128811","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/9/11/251/pdf?version=1700128811","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063775301","display_name":"Jinxing Liang","orcid":"https://orcid.org/0000-0002-7570-1827"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]},{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxing Liang","raw_affiliation_strings":["School of Automation, Qingdao University, Qingdao 266071, China","School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan 430200, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Qingdao University, Qingdao 266071, China","institution_ids":["https://openalex.org/I108688024"]},{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan 430200, China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101850839","display_name":"Jing Zhou","orcid":"https://orcid.org/0000-0003-3078-9535"},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhou","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan 430200, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan 430200, China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074593997","display_name":"Xinrong Hu","orcid":"https://orcid.org/0000-0001-6563-669X"},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinrong Hu","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan 430200, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan 430200, China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083097561","display_name":"Hang Luo","orcid":"https://orcid.org/0000-0003-1848-6654"},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hang Luo","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan 430200, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan 430200, China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021121213","display_name":"Genyang Cao","orcid":"https://orcid.org/0000-0003-3487-2010"},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Genyang Cao","raw_affiliation_strings":["School of Textile Science and Engineering, Wuhan Textile University, Wuhan 430200, China"],"raw_orcid":"https://orcid.org/0000-0003-3487-2010","affiliations":[{"raw_affiliation_string":"School of Textile Science and Engineering, Wuhan Textile University, Wuhan 430200, China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324272","display_name":"Liu Liu","orcid":"https://orcid.org/0000-0002-3651-544X"},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Liu","raw_affiliation_strings":["Analysis and Testing Center, Wuhan Textile University, Wuhan 430200, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Analysis and Testing Center, Wuhan Textile University, Wuhan 430200, China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048946479","display_name":"Kaida Xiao","orcid":"https://orcid.org/0000-0001-7197-7159"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kaida Xiao","raw_affiliation_strings":["School of Design, University of Leeds, Leeds LS2 9JT, UK"],"raw_orcid":"https://orcid.org/0000-0001-7197-7159","affiliations":[{"raw_affiliation_string":"School of Design, University of Leeds, Leeds LS2 9JT, UK","institution_ids":["https://openalex.org/I130828816"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5021121213","https://openalex.org/A5083097561"],"corresponding_institution_ids":["https://openalex.org/I4210119942"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.9695,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75029395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"9","issue":"11","first_page":"251","last_page":"251"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9775999784469604,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rubbing","display_name":"Rubbing","score":0.7814658284187317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7164490222930908},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6682099103927612},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6222066879272461},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5452138185501099},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.5303521752357483},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5158156752586365},{"id":"https://openalex.org/keywords/color-difference","display_name":"Color difference","score":0.5138940811157227},{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.45721766352653503},{"id":"https://openalex.org/keywords/digital-camera","display_name":"Digital camera","score":0.44569751620292664},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3790844976902008},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.17541846632957458},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14670979976654053}],"concepts":[{"id":"https://openalex.org/C2777673350","wikidata":"https://www.wikidata.org/wiki/Q7375860","display_name":"Rubbing","level":2,"score":0.7814658284187317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7164490222930908},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6682099103927612},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6222066879272461},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5452138185501099},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.5303521752357483},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5158156752586365},{"id":"https://openalex.org/C186991048","wikidata":"https://www.wikidata.org/wiki/Q1184883","display_name":"Color difference","level":3,"score":0.5138940811157227},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.45721766352653503},{"id":"https://openalex.org/C2779705975","wikidata":"https://www.wikidata.org/wiki/Q62927","display_name":"Digital camera","level":2,"score":0.44569751620292664},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3790844976902008},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.17541846632957458},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14670979976654053},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/jimaging9110251","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging9110251","pdf_url":"https://www.mdpi.com/2313-433X/9/11/251/pdf?version=1700128811","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:37998098","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37998098","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of imaging","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10672307","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10672307","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10672307/pdf/jimaging-09-00251.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Imaging","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:943b378ac3604c9da77a15264f5409dc","is_oa":true,"landing_page_url":"https://doaj.org/article/943b378ac3604c9da77a15264f5409dc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Imaging, Vol 9, Iss 11, p 251 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/jimaging9110251","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging9110251","pdf_url":"https://www.mdpi.com/2313-433X/9/11/251/pdf?version=1700128811","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G3869546031","display_name":null,"funder_award_id":"Q20221706","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G635078471","display_name":null,"funder_award_id":"2022CFB537","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7144756148","display_name":null,"funder_award_id":"62305255","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388734586.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1991724284","https://openalex.org/W2033230679","https://openalex.org/W2058902113","https://openalex.org/W2094951851","https://openalex.org/W2347639744","https://openalex.org/W2749595598","https://openalex.org/W2765276001","https://openalex.org/W2912615365","https://openalex.org/W2913411199","https://openalex.org/W2921016893","https://openalex.org/W2959181090","https://openalex.org/W2983213130","https://openalex.org/W2988730035","https://openalex.org/W3005477994","https://openalex.org/W3016227666","https://openalex.org/W3018357973","https://openalex.org/W3035556176","https://openalex.org/W3087579356","https://openalex.org/W3119960635","https://openalex.org/W3129089129","https://openalex.org/W3137658959","https://openalex.org/W3152880454","https://openalex.org/W4206107787","https://openalex.org/W4306698456","https://openalex.org/W6806428330"],"related_works":["https://openalex.org/W3153082147","https://openalex.org/W2968833425","https://openalex.org/W2899689856","https://openalex.org/W1578603152","https://openalex.org/W2375368948","https://openalex.org/W2390727152","https://openalex.org/W2369820107","https://openalex.org/W2379224795","https://openalex.org/W2385373070","https://openalex.org/W2384780263"],"abstract_inverted_index":{"To":[0],"digital":[1,68,74,204],"grade":[2],"the":[3,27,34,38,53,61,77,88,93,103,113,126,132,136,142,155,162,174,182,187,193,203,226,233],"staining":[4,209],"color":[5,51,89,104,122,144,167,188,210,235],"fastness":[6,105,123,168,211,236],"of":[7,41,76,92,125,165,181,207],"fabrics":[8,35],"after":[9],"rubbing,":[10],"an":[11],"automatic":[12,234],"grading":[13],"method":[14,147,152,183,191,206],"based":[15,153,214],"on":[16,154,215],"spectral":[17,99,216],"reconstruction":[18,100,217],"technology":[19],"and":[20,83,87,117,135,148,192,218],"BP":[21,118,175,219],"neural":[22,119,176,220],"network":[23,221],"was":[24,110,129],"proposed.":[25],"Firstly,":[26],"modeling":[28,54,78,94,114],"samples":[29,55,79,95,115,128],"are":[30,56,96],"prepared":[31],"by":[32],"rubbing":[33,109,213],"according":[36],"to":[37,44,59,72,212],"ISO":[39],"standard":[40],"105-X12.":[42],"Then,":[43],"comply":[45],"with":[46,141,225],"visual":[47,62,227],"rating":[48,63,205],"standards":[49],"for":[50,108,232],"fastness,":[52],"professionally":[57],"graded":[58],"obtain":[60],"result.":[64],"After":[65],"that,":[66],"a":[67,81],"camera":[69],"is":[70,184],"used":[71],"capture":[73],"images":[75],"inside":[80],"closed":[82],"uniform":[84],"lighting":[85],"box,":[86],"data":[90,116],"values":[91],"obtained":[97],"through":[98],"technology.":[101],"Finally,":[102],"prediction":[106,133,137,163],"model":[107,164],"constructed":[111,172],"using":[112,131,173],"network.":[120,177],"The":[121,178],"level":[124],"testing":[127],"predicted":[130],"model,":[134],"results":[138],"were":[139],"compared":[140],"existing":[143],"difference":[145,151,189,196],"conversion":[146,190],"gray":[149,194],"scale":[150,195],"five-fold":[156],"cross-validation":[157],"strategy.":[158],"Experiments":[159],"show":[160],"that":[161,202],"fabric":[166,208],"can":[169,199],"be":[170,200],"better":[171,185],"overall":[179],"performance":[180],"than":[186],"method.":[197],"It":[198],"seen":[201],"has":[222],"high":[223],"consistency":[224],"evaluation,":[228],"which":[229],"will":[230],"help":[231],"grading.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
