{"id":"https://openalex.org/W7204603432","doi":"https://doi.org/10.1088/1361-6501/aea010","title":"Deep learning-based approach to mitigating reference pattern loss in digital image correlation","display_name":"Deep learning-based approach to mitigating reference pattern loss in digital image correlation","publication_year":2026,"publication_date":"2026-08-28","ids":{"openalex":"https://openalex.org/W7204603432","doi":"https://doi.org/10.1088/1361-6501/aea010"},"language":"en","primary_location":{"id":"doi:10.1088/1361-6501/aea010","doi":"https://doi.org/10.1088/1361-6501/aea010","is_oa":false,"landing_page_url":"https://doi.org/10.1088/1361-6501/aea010","pdf_url":null,"source":{"id":"https://openalex.org/S109302362","display_name":"Measurement Science and Technology","issn_l":"0957-0233","issn":["0957-0233","1361-6501"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-2","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Measurement Science and Technology","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W7204603432"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5148561261","display_name":"Kim HyunSoo","orcid":"https://orcid.org/0000-0001-7691-1183","observed_orcids":["https://orcid.org/0000-0001-7691-1183"]},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun-Soo Kim","raw_affiliation_strings":["School of Mechanical Engineering, Pusan National University"],"raw_orcid":"https://orcid.org/0000-0001-7691-1183","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Pusan National University","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033257362","display_name":"Hyeon-Gyu Min","orcid":"https://orcid.org/0000-0002-1579-5622","observed_orcids":["https://orcid.org/0000-0002-1579-5622"]},"institutions":[{"id":"https://openalex.org/I118722661","display_name":"Kyungsung University","ror":"https://ror.org/05h9pgm95","country_code":"KR","type":"education","lineage":["https://openalex.org/I118722661"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeon-Gyu Min","raw_affiliation_strings":["Department of Mechanical & Automotive Engineering, Kyungsung University 309, Namgu"],"raw_orcid":"https://orcid.org/0000-0002-1579-5622","affiliations":[{"raw_affiliation_string":"Department of Mechanical & Automotive Engineering, Kyungsung University 309, Namgu","institution_ids":["https://openalex.org/I118722661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038741705","display_name":"Dong\u2010Joong Kang","orcid":"https://orcid.org/0000-0001-7353-4167","observed_orcids":["https://orcid.org/0000-0001-7353-4167"]},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Dong-Joong Kang","raw_affiliation_strings":["School of Mechanical Engineering, Pusan National University"],"raw_orcid":"https://orcid.org/0000-0001-7353-4167","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Pusan National University","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017801906","display_name":"Jun-Hyub Park","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I118722661","display_name":"Kyungsung University","ror":"https://ror.org/05h9pgm95","country_code":"KR","type":"education","lineage":["https://openalex.org/I118722661"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jun-Hyub Park","raw_affiliation_strings":["Department of Mechanical & Automotive Engineering, Kyungsung University 309, Namgu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical & Automotive Engineering, Kyungsung University 309, Namgu","institution_ids":["https://openalex.org/I118722661"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038741705"],"corresponding_institution_ids":["https://openalex.org/I4921948"],"apc_list":{"value":3325,"currency":"USD","value_usd":3325},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":"38","first_page":"385009","last_page":"385009"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T10377","display_name":"Metal and Thin Film Mechanics","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T13552","display_name":"Advanced Materials Characterization Techniques","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2500","display_name":"General Materials Science"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/digital-image-correlation","display_name":"digital image correlation","score":0.8899999856948853},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.7900000214576721},{"id":"https://openalex.org/keywords/displacement-measurement","display_name":"displacement measurement","score":0.8529999852180481},{"id":"https://openalex.org/keywords/tensile-testing","display_name":"tensile testing","score":0.8190000057220459},{"id":"https://openalex.org/keywords/thin-films","display_name":"thin films","score":0.8640000224113464},{"id":"https://openalex.org/keywords/deformation-measurement","display_name":"deformation measurement","score":0.5799999833106995},{"id":"https://openalex.org/keywords/mechanical-characterization","display_name":"mechanical characterization","score":0.492000013589859}],"concepts":[{"id":"https://openalex.org/C115635565","wikidata":"https://www.wikidata.org/wiki/Q860900","display_name":"Digital image correlation","level":2,"score":0.901199996471405},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.7645999789237976},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5604000091552734},{"id":"https://openalex.org/C4144372","wikidata":"https://www.wikidata.org/wiki/Q675287","display_name":"Magnification","level":2,"score":0.5525000095367432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5024999976158142},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4927000105381012},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.46650001406669617},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.44130000472068787},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41519999504089355},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4090000092983246},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.31310001015663147},{"id":"https://openalex.org/C202799725","wikidata":"https://www.wikidata.org/wiki/Q272035","display_name":"Accuracy and precision","level":2,"score":0.31029999256134033},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C182508753","wikidata":"https://www.wikidata.org/wiki/Q115605","display_name":"Tensile testing","level":3,"score":0.2980000078678131},{"id":"https://openalex.org/C112950240","wikidata":"https://www.wikidata.org/wiki/Q76005","display_name":"Ultimate tensile strength","level":2,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1088/1361-6501/aea010","doi":"https://doi.org/10.1088/1361-6501/aea010","is_oa":false,"landing_page_url":"https://doi.org/10.1088/1361-6501/aea010","pdf_url":null,"source":{"id":"https://openalex.org/S109302362","display_name":"Measurement Science and Technology","issn_l":"0957-0233","issn":["0957-0233","1361-6501"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-2","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Measurement Science and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1625958017","https://openalex.org/W1991692264","https://openalex.org/W2039240409","https://openalex.org/W2075020252","https://openalex.org/W2081887802","https://openalex.org/W2093805119","https://openalex.org/W2097803127","https://openalex.org/W2112732289","https://openalex.org/W2157331557","https://openalex.org/W2163450900","https://openalex.org/W2780544323","https://openalex.org/W2884436604","https://openalex.org/W2946335642","https://openalex.org/W2950335114","https://openalex.org/W2972103180","https://openalex.org/W2996290406","https://openalex.org/W3016129867","https://openalex.org/W3083912756","https://openalex.org/W3161051587","https://openalex.org/W3208289567","https://openalex.org/W4293761460","https://openalex.org/W4295997434","https://openalex.org/W4298147694","https://openalex.org/W4317497203","https://openalex.org/W4389682252","https://openalex.org/W4390650730","https://openalex.org/W4391718285","https://openalex.org/W4401732495","https://openalex.org/W4406137396","https://openalex.org/W4406603542"],"related_works":["https://openalex.org/W3208289567","https://openalex.org/W7163189358","https://openalex.org/W4403220192","https://openalex.org/W7204584192","https://openalex.org/W4402503579","https://openalex.org/W4401609234","https://openalex.org/W2029270087","https://openalex.org/W4407572549","https://openalex.org/W7172269126","https://openalex.org/W7133319489"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2,55],"study,":[3],"a":[4,27,134],"deep":[5],"learning-based":[6],"digital":[7],"image":[8],"correlation":[9],"(Deep":[10],"DIC)":[11],"method":[12,53],"is":[13,43],"applied":[14,146],"to":[15,49,81,147,162],"mitigate":[16],"some":[17],"limitations":[18],"of":[19,41,115,122,171],"conventional":[20,77],"DIC":[21,24,78,94,143],"techniques.":[22],"Traditional":[23],"suffers":[25],"from":[26],"significant":[28],"reduction":[29],"in":[30,157],"displacement":[31,60,98,107,158],"measurement":[32,83,159],"accuracy":[33,84],"when":[34,63],"the":[35,39,64,73,91,101,112,120,123,141,152,154,166,172],"reference":[36,65],"pattern":[37,66],"within":[38],"region":[40],"interest":[42],"partially":[44,68],"or":[45,70],"completely":[46],"lost":[47],"due":[48],"deformation.":[50],"The":[51],"proposed":[52,92,124,173],"addresses":[54],"issue":[56],"by":[57],"enabling":[58],"robust":[59],"estimation":[61],"even":[62],"becomes":[67],"degraded":[69],"moves":[71],"outside":[72],"observable":[74],"region.":[75],"While":[76],"methods":[79],"struggle":[80],"maintain":[82],"under":[85],"high":[86],"magnification":[87],"during":[88,151],"tensile":[89,126],"tests,":[90],"Deep":[93,142],"approach":[95],"enables":[96],"precise":[97],"measurements":[99],"throughout":[100],"entire":[102],"testing":[103],"period.":[104],"This":[105],"provides":[106],"information":[108],"that":[109],"can":[110],"support":[111],"mechanical":[113],"characterization":[114],"thin-film":[116,131],"materials.":[117],"To":[118],"validate":[119],"effectiveness":[121],"method,":[125],"tests":[127],"were":[128],"conducted":[129],"on":[130],"specimens":[132],"using":[133],"high-magnification":[135],"scanning":[136],"electron":[137],"microscope":[138],"setup.":[139],"When":[140],"algorithm":[144],"was":[145,160],"surface":[148],"images":[149],"obtained":[150],"test,":[153],"relative":[155],"error":[156],"found":[161],"be":[163],"1.28%,":[164],"demonstrating":[165],"reliability":[167],"and":[168],"practical":[169],"applicability":[170],"approach.":[174]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-08-29T00:00:00"}
