{"id":"https://openalex.org/W4409311294","doi":"https://doi.org/10.1109/crc63701.2024.10949857","title":"A Corrosion Object Detection Model Based on Yolov8n and Image Preprocess Methods","display_name":"A Corrosion Object Detection Model Based on Yolov8n and Image Preprocess Methods","publication_year":2024,"publication_date":"2024-11-21","ids":{"openalex":"https://openalex.org/W4409311294","doi":"https://doi.org/10.1109/crc63701.2024.10949857"},"language":"en","primary_location":{"id":"doi:10.1109/crc63701.2024.10949857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/crc63701.2024.10949857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Control, Robotics and Cybernetics (CRC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100625274","display_name":"Ziheng Zhao","orcid":"https://orcid.org/0000-0003-3496-3158"},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Ziheng Zhao","raw_affiliation_strings":["School of Aerospace Engineering, Kampus Kejuruteraan, Universiti Sains Malaysia,Penang,Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aerospace Engineering, Kampus Kejuruteraan, Universiti Sains Malaysia,Penang,Malaysia","institution_ids":["https://openalex.org/I139322472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048225780","display_name":"Elmi Bin Abu Bakar","orcid":null},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Elmi Bin Abu Bakar","raw_affiliation_strings":["School of Aerospace Engineering, Kampus Kejuruteraan, Universiti Sains Malaysia,Penang,Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aerospace Engineering, Kampus Kejuruteraan, Universiti Sains Malaysia,Penang,Malaysia","institution_ids":["https://openalex.org/I139322472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102699994","display_name":"Norizham Bin Abdul Razak","orcid":null},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Norizham Bin Abdul Razak","raw_affiliation_strings":["School of Aerospace Engineering, Kampus Kejuruteraan, Universiti Sains Malaysia,Penang,Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aerospace Engineering, Kampus Kejuruteraan, Universiti Sains Malaysia,Penang,Malaysia","institution_ids":["https://openalex.org/I139322472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007987152","display_name":"Mohammad Nishat Akhtar","orcid":"https://orcid.org/0000-0001-8592-5966"},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohammad Nishat Akhtar","raw_affiliation_strings":["School of Aerospace Engineering, Kampus Kejuruteraan, Universiti Sains Malaysia,Penang,Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aerospace Engineering, Kampus Kejuruteraan, Universiti Sains Malaysia,Penang,Malaysia","institution_ids":["https://openalex.org/I139322472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139322472"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.58041486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9491000175476074,"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"}},"topics":[{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9491000175476074,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9337000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6594477891921997},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5975533127784729},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.584144651889801},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5351911783218384},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5092102289199829},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47228842973709106},{"id":"https://openalex.org/keywords/corrosion","display_name":"Corrosion","score":0.4583302438259125},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3649612069129944},{"id":"https://openalex.org/keywords/metallurgy","display_name":"Metallurgy","score":0.10580366849899292},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10083243250846863}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6594477891921997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5975533127784729},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.584144651889801},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5351911783218384},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5092102289199829},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47228842973709106},{"id":"https://openalex.org/C20625102","wikidata":"https://www.wikidata.org/wiki/Q137056","display_name":"Corrosion","level":2,"score":0.4583302438259125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3649612069129944},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.10580366849899292},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10083243250846863}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/crc63701.2024.10949857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/crc63701.2024.10949857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Control, Robotics and Cybernetics (CRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W133204587","https://openalex.org/W1430077088","https://openalex.org/W1608462934","https://openalex.org/W1969764584","https://openalex.org/W2565639579","https://openalex.org/W2884367402","https://openalex.org/W2930040264","https://openalex.org/W2963037989","https://openalex.org/W2963857746","https://openalex.org/W2966026104","https://openalex.org/W2998927093","https://openalex.org/W3212415671","https://openalex.org/W4212965309","https://openalex.org/W4233357013","https://openalex.org/W4313479439","https://openalex.org/W4320002812","https://openalex.org/W4367840904","https://openalex.org/W4379390607","https://openalex.org/W4385760871","https://openalex.org/W4388823657","https://openalex.org/W4390148988","https://openalex.org/W4391444308","https://openalex.org/W4391468134","https://openalex.org/W4391731499","https://openalex.org/W4392231788","https://openalex.org/W4392560063","https://openalex.org/W4393142397","https://openalex.org/W4393982666","https://openalex.org/W4401865437","https://openalex.org/W4402703054","https://openalex.org/W6847207718"],"related_works":["https://openalex.org/W2349891746","https://openalex.org/W2884282816","https://openalex.org/W2394115446","https://openalex.org/W1502342084","https://openalex.org/W3203998807","https://openalex.org/W2032583453","https://openalex.org/W4283030797","https://openalex.org/W2380730024","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Material":[0],"failure":[1],"is":[2],"frequently":[3],"caused":[4],"by":[5,11],"material":[6],"corrosion.":[7],"To":[8],"expedite":[9],"maintenance":[10],"enabling":[12],"more":[13],"accurate":[14],"identification":[15],"of":[16,33,96,166],"corroded":[17],"areas":[18,150],"in":[19,66,151],"materials,":[20],"this":[21],"study":[22],"employs":[23],"a":[24,94,107,124,159],"corrosion":[25,149,167],"target":[26],"detection":[27,56],"image":[28,34,37,43,55,138],"dataset,":[29],"using":[30,46,90,103,120],"12":[31],"types":[32],"enhancement":[35,92],"and":[36,45,70,79,85,114],"filtering":[38,105,122],"methods":[39,140],"to":[40,68],"preprocess":[41],"the":[42,47,144,152,164],"dataset":[44],"You":[48],"Only":[49],"Look":[50],"Once":[51],"(Yolo)v8n":[52],"model":[53,146],"for":[54,147,163],"on":[57],"each":[58],"preprocessing":[59,139],"dataset.":[60],"The":[61,131],"simulation's":[62],"findings":[63,156],"demonstrate":[64],"that":[65,135],"contrast":[67],"Yolov5n":[69],"Yolov6n,":[71],"Yolov8n":[72],"can":[73,141,157],"achieve":[74],"higher":[75],"Precision,":[76],"Recall,":[77],"mAP50,":[78],"mAP50-95":[80,99],"values.":[81],"Simultaneously,":[82],"maximum":[83,98,115],"Recall":[84],"mAP50":[86],"values":[87],"were":[88],"obtained":[89,102,119],"color":[91],"with":[93,106,123],"multiplier":[95],"1.5,":[97],"value":[100,117,162],"was":[101,118],"median":[104],"convolutional":[108,125],"kernel":[109,126],"size":[110,127],"of$3":[111],"\\times":[112,129],"3$,":[113],"Precision":[116],"minimum":[121],"of$5":[128],"5$.":[130],"above":[132],"results":[133],"illustrate":[134],"selecting":[136],"appropriate":[137],"further":[142],"improve":[143],"yolov8":[145],"identifying":[148],"image.":[153],"Thus,":[154],"these":[155],"provide":[158],"certain":[160],"reference":[161],"field":[165],"detection.":[168]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}