{"id":"https://openalex.org/W7123800636","doi":"https://doi.org/10.5626/jcse.2025.19.2.61","title":"Lightweight Crack Learning Model Using Morphology for Infrared Sensor Images","display_name":"Lightweight Crack Learning Model Using Morphology for Infrared Sensor Images","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W7123800636","doi":"https://doi.org/10.5626/jcse.2025.19.2.61"},"language":"en","primary_location":{"id":"doi:10.5626/jcse.2025.19.2.61","is_oa":false,"landing_page_url":"https://doi.org/10.5626/jcse.2025.19.2.61","pdf_url":null,"source":{"id":"https://openalex.org/S2764945857","display_name":"Journal of Computing Science and Engineering","issn_l":"1976-4677","issn":["1976-4677","2093-8020"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing Science and Engineering","raw_type":"journal-article"},"type":"article","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/A5025952625","display_name":"Joonho Byun","orcid":"https://orcid.org/0009-0001-7874-7281"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Joonho Byun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122960842","display_name":"Jeong-Joon Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeong-Joon Kim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5084325704","display_name":"Siwoo Byun","orcid":"https://orcid.org/0000-0002-4887-6875"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Siwoo Byun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025952625"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.56255497,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"2","first_page":"61","last_page":"71"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11856","display_name":"Thermography and Photoacoustic Techniques","score":0.5931000113487244,"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"}},"topics":[{"id":"https://openalex.org/T11856","display_name":"Thermography and Photoacoustic Techniques","score":0.5931000113487244,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.13120000064373016,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.023499999195337296,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7893000245094299},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4959999918937683},{"id":"https://openalex.org/keywords/mathematical-morphology","display_name":"Mathematical morphology","score":0.4560999870300293},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.41670000553131104},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40860000252723694},{"id":"https://openalex.org/keywords/thermal-infrared","display_name":"Thermal infrared","score":0.40799999237060547},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.38499999046325684}],"concepts":[{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7893000245094299},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.728600025177002},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6218000054359436},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5120999813079834},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4959999918937683},{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.4560999870300293},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.41670000553131104},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40860000252723694},{"id":"https://openalex.org/C2984335091","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Thermal infrared","level":3,"score":0.40799999237060547},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.38499999046325684},{"id":"https://openalex.org/C499950583","wikidata":"https://www.wikidata.org/wiki/Q183252","display_name":"Morphology (biology)","level":2,"score":0.36070001125335693},{"id":"https://openalex.org/C204530211","wikidata":"https://www.wikidata.org/wiki/Q752823","display_name":"Thermal","level":2,"score":0.34130001068115234},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.2754000127315521},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2542000114917755},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5626/jcse.2025.19.2.61","is_oa":false,"landing_page_url":"https://doi.org/10.5626/jcse.2025.19.2.61","pdf_url":null,"source":{"id":"https://openalex.org/S2764945857","display_name":"Journal of Computing Science and Engineering","issn_l":"1976-4677","issn":["1976-4677","2093-8020"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Since":[0],"various":[1,67],"cracks":[2,17,36],"can":[3,89,134],"lead":[4],"to":[5,25,34,47,54,92,137],"significant":[6],"loss":[7],"of":[8,16,58,99,120,126],"life":[9],"and":[10,14,71,85,97,116],"property,":[11],"early":[12],"detection":[13,60],"repair":[15],"in":[18,149],"structures":[19],"is":[20,32,45,144,147],"a":[21,77,112,117,123],"very":[22],"important":[23],"procedure":[24],"prevent":[26],"social":[27],"losses.":[28],"However,":[29],"since":[30],"it":[31,44],"difficult":[33],"detect":[35],"under":[37],"paint":[38],"or":[39],"wallpaper":[40],"using":[41,61,82],"conventional":[42],"techniques,":[43],"necessary":[46],"use":[48],"infrared-based":[49],"thermal":[50,63],"devices.":[51,152],"In":[52,102],"order":[53],"improve":[55],"the":[56,95,100,104],"performance":[57],"crack":[59],"infrared":[62],"imaging,":[64],"we":[65],"analyzed":[66],"image":[68,142],"preprocessing":[69,84,143],"methods":[70],"deep":[72,79,132],"learning":[73,80,133],"models.":[74],"We":[75,128],"developed":[76],"lightweight":[78,105,131],"model":[81,107],"morphology":[83,88,110],"found":[86],"that":[87,130],"be":[90],"used":[91,108],"effectively":[93],"highlight":[94],"boundaries":[96],"shape":[98],"cracks.":[101],"particular,":[103],"Yolo":[106],"with":[109,122],"had":[111],"faster":[113],"processing":[114],"speed":[115],"similar":[118],"level":[119],"accuracy":[121],"smaller":[124],"number":[125],"parameters.":[127],"demonstrate":[129],"perform":[135],"similarly":[136],"heavier":[138],"models":[139],"when":[140],"appropriate":[141],"applied,":[145],"which":[146],"useful":[148],"low-end":[150],"portable":[151]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2026-01-14T00:00:00"}