{"id":"https://openalex.org/W4410933158","doi":"https://doi.org/10.1007/s11263-025-02473-9","title":"Thread Counting in Plain Weave for Old Paintings Using Regression Deep Learning Models","display_name":"Thread Counting in Plain Weave for Old Paintings Using Regression Deep Learning Models","publication_year":2025,"publication_date":"2025-06-01","ids":{"openalex":"https://openalex.org/W4410933158","doi":"https://doi.org/10.1007/s11263-025-02473-9"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-025-02473-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-025-02473-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-025-02473-9.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11263-025-02473-9.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100615936","display_name":"Antonio Delgado","orcid":"https://orcid.org/0000-0003-1124-4185"},"institutions":[{"id":"https://openalex.org/I4210096488","display_name":"Ayuntamiento de Sevilla","ror":"https://ror.org/00wq6p759","country_code":"ES","type":"government","lineage":["https://openalex.org/I4210096488"]},{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Antonio Delgado","raw_affiliation_strings":["Departamento de Teor\u00eda de la Se\u00f1al y Comunicaciones, ETSi Universidad de Sevilla, Camino de los Descubrimientos sn, 41092, Sevilla, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Teor\u00eda de la Se\u00f1al y Comunicaciones, ETSi Universidad de Sevilla, Camino de los Descubrimientos sn, 41092, Sevilla, Spain","institution_ids":["https://openalex.org/I79238269","https://openalex.org/I4210096488"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036960709","display_name":"Juan Jos\u00e9 Murillo-Fuentes","orcid":"https://orcid.org/0000-0002-9041-0147"},"institutions":[{"id":"https://openalex.org/I4210096488","display_name":"Ayuntamiento de Sevilla","ror":"https://ror.org/00wq6p759","country_code":"ES","type":"government","lineage":["https://openalex.org/I4210096488"]},{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Juan Jos\u00e9 Murillo-Fuentes","raw_affiliation_strings":["Departamento de Teor\u00eda de la Se\u00f1al y Comunicaciones, ETSi Universidad de Sevilla, Camino de los Descubrimientos sn, 41092, Sevilla, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Teor\u00eda de la Se\u00f1al y Comunicaciones, ETSi Universidad de Sevilla, Camino de los Descubrimientos sn, 41092, Sevilla, Spain","institution_ids":["https://openalex.org/I79238269","https://openalex.org/I4210096488"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059199581","display_name":"Laura Alba-Carcel\u00e9n","orcid":"https://orcid.org/0000-0003-3910-343X"},"institutions":[{"id":"https://openalex.org/I4210120109","display_name":"Museo Nacional de Ciencias Naturales","ror":"https://ror.org/02v6zg374","country_code":"ES","type":"archive","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210120109"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Laura Alba-Carcel\u00e9n","raw_affiliation_strings":["Gabinete de Documentaci\u00f3n T\u00e9cnica, Museo Nacional del Prado, C. de Ruiz de Alarc\u00f3n, 23, 28014, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Gabinete de Documentaci\u00f3n T\u00e9cnica, Museo Nacional del Prado, C. de Ruiz de Alarc\u00f3n, 23, 28014, Madrid, Spain","institution_ids":["https://openalex.org/I4210120109"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100615936"],"corresponding_institution_ids":["https://openalex.org/I4210096488","https://openalex.org/I79238269"],"apc_list":{"value":2890,"currency":"EUR","value_usd":3690},"apc_paid":{"value":2890,"currency":"EUR","value_usd":3690},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1136171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"133","issue":"9","first_page":"6316","last_page":"6331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12981","display_name":"Conservation Techniques and Studies","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/1206","display_name":"Conservation"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/thread","display_name":"Thread (computing)","score":0.7363519072532654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6597233414649963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5315831899642944},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.525860071182251},{"id":"https://openalex.org/keywords/plain-weave","display_name":"Plain weave","score":0.457610547542572},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4397146999835968},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4339643716812134},{"id":"https://openalex.org/keywords/painting","display_name":"Painting","score":0.4253275990486145},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.33819112181663513},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3236904740333557},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2781825065612793},{"id":"https://openalex.org/keywords/yarn","display_name":"Yarn","score":0.2135297954082489},{"id":"https://openalex.org/keywords/art-history","display_name":"Art history","score":0.19891688227653503},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17703601717948914},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.16323325037956238},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1430596113204956}],"concepts":[{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.7363519072532654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6597233414649963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5315831899642944},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.525860071182251},{"id":"https://openalex.org/C2779978421","wikidata":"https://www.wikidata.org/wiki/Q1153946","display_name":"Plain weave","level":3,"score":0.457610547542572},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4397146999835968},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4339643716812134},{"id":"https://openalex.org/C205783811","wikidata":"https://www.wikidata.org/wiki/Q11629","display_name":"Painting","level":2,"score":0.4253275990486145},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.33819112181663513},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3236904740333557},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2781825065612793},{"id":"https://openalex.org/C2778787235","wikidata":"https://www.wikidata.org/wiki/Q49007","display_name":"Yarn","level":2,"score":0.2135297954082489},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"score":0.19891688227653503},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17703601717948914},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.16323325037956238},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1430596113204956},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11263-025-02473-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-025-02473-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-025-02473-9.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11263-025-02473-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-025-02473-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-025-02473-9.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1689589301","display_name":null,"funder_award_id":"PID2021-123182OB-I00","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G2262748287","display_name":null,"funder_award_id":"501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3429648993","display_name":null,"funder_award_id":"PID202","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3480869486","display_name":null,"funder_award_id":"13039","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G4126322094","display_name":null,"funder_award_id":"01100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G4816244515","display_name":null,"funder_award_id":"FEDER","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G5114957636","display_name":null,"funder_award_id":"PID2021-123182OB-I00, PID2021- 127871OB-I00","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"},{"id":"https://openalex.org/G5967599077","display_name":null,"funder_award_id":"501100011033","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G661330594","display_name":null,"funder_award_id":"00110","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G6685425346","display_name":null,"funder_award_id":"0011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G8047115819","display_name":null,"funder_award_id":"ATENEA, P20_01216","funder_id":"https://openalex.org/F4320326754","funder_display_name":"Junta de Andaluc\u00eda"},{"id":"https://openalex.org/G8084043448","display_name":null,"funder_award_id":"ATENEA, P20_01216","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G8260616629","display_name":null,"funder_award_id":"011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G8570012161","display_name":null,"funder_award_id":"unknown","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"}],"funders":[{"id":"https://openalex.org/F4320310967","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24"},{"id":"https://openalex.org/F4320322930","display_name":"Ministerio de Ciencia e Innovaci\u00f3n","ror":"https://ror.org/034900433"},{"id":"https://openalex.org/F4320326754","display_name":"Junta de Andaluc\u00eda","ror":"https://ror.org/01jem9c82"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410933158.pdf","grobid_xml":"https://content.openalex.org/works/W4410933158.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1808701926","https://openalex.org/W1901129140","https://openalex.org/W1987202160","https://openalex.org/W2017353467","https://openalex.org/W2062473794","https://openalex.org/W2131241448","https://openalex.org/W2154642048","https://openalex.org/W2617163296","https://openalex.org/W2766736793","https://openalex.org/W2907472644","https://openalex.org/W2954996726","https://openalex.org/W3015628063","https://openalex.org/W3019559898","https://openalex.org/W3088222992","https://openalex.org/W3112447751","https://openalex.org/W3200179091","https://openalex.org/W4231305205","https://openalex.org/W4387158209","https://openalex.org/W6629390645","https://openalex.org/W6631190155","https://openalex.org/W6730267373"],"related_works":["https://openalex.org/W2580687016","https://openalex.org/W2886265999","https://openalex.org/W2383951830","https://openalex.org/W1591565242","https://openalex.org/W2369092230","https://openalex.org/W2357187602","https://openalex.org/W2940819518","https://openalex.org/W2233552742","https://openalex.org/W2389267382","https://openalex.org/W2365130165"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2],"paper,":[3],"we":[4,25,90,116],"introduce":[5],"a":[6,86],"novel":[7],"algorithm":[8,154],"designed":[9],"to":[10,42,64,120,167,185,192],"improve":[11],"thread":[12,45,66,104,159],"density":[13,105,147,160],"estimation":[14],"in":[15,158,199],"canvas":[16],"analysis.":[17,201],"Our":[18,152],"approach":[19],"incorporates":[20],"three":[21],"major":[22],"contributions.":[23],"First,":[24],"eliminate":[26],"the":[27,37,57,80,92,122,134,139],"need":[28],"for":[29,149,172],"post-segmentation":[30],"processing":[31],"by":[32,96],"integrating":[33],"regression":[34],"techniques,":[35],"enabling":[36],"deep":[38],"learning":[39],"(DL)":[40],"model":[41,126,141],"directly":[43],"compute":[44],"density.":[46],"This":[47,128],"does":[48],"not":[49],"only":[50],"reduce":[51],"computational":[52],"time":[53],"but":[54],"also":[55,111],"shifts":[56],"training":[58,119,135],"focus":[59],"from":[60,174],"locating":[61],"crossing":[62],"points":[63],"minimizing":[65],"counting":[67],"errors,":[68],"thereby":[69],"enhancing":[70],"accuracy.":[71],"We":[72,110],"develop":[73],"and":[74,107,124,142,163],"rigorously":[75],"evaluate":[76],"various":[77],"models,":[78],"selecting":[79],"one":[81],"with":[82],"optimal":[83],"performance":[84,157],"through":[85],"hyperparameter":[87],"search.":[88],"Second,":[89],"refine":[91],"data":[93,113],"generation":[94],"process":[95],"dynamically":[97],"adjusting":[98],"filter":[99],"lengths":[100],"based":[101],"on":[102],"initial":[103],"estimates":[106,148],"incorporating":[108,130],"equalization.":[109],"enhance":[112],"augmentation.":[114],"Third,":[115],"implement":[117],"semi-supervised":[118],"expand":[121],"dataset":[123],"fine-tune":[125],"weights.":[127],"involves":[129],"new":[131,150],"inputs":[132],"into":[133],"set":[136],"when":[137],"both":[138],"DL":[140,169],"Fourier":[143],"transform":[144],"yield":[145],"similar":[146],"paintings.":[151],"proposed":[153],"demonstrates":[155],"superior":[156],"error":[161],"reduction":[162],"operational":[164],"efficiency":[165],"compared":[166],"previous":[168],"segmentation":[170],"solutions":[171],"masterpieces":[173],"Ribera,":[175],"Vel\u00e1zquez,":[176],"or":[177],"Poussin.":[178],"Additionally,":[179],"it":[180],"has":[181],"been":[182],"effectively":[183],"applied":[184],"identify":[186],"fabric":[187],"matches":[188],"between":[189],"canvases":[190],"attributed":[191],"different":[193],"authors,":[194],"showcasing":[195],"its":[196],"practical":[197],"applicability":[198],"art":[200]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}