{"id":"https://openalex.org/W2980351136","doi":"https://doi.org/10.1109/ispa.2019.8868929","title":"Flaw Detection from Ultrasonic Images using YOLO and SSD","display_name":"Flaw Detection from Ultrasonic Images using YOLO and SSD","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2980351136","doi":"https://doi.org/10.1109/ispa.2019.8868929","mag":"2980351136"},"language":"en","primary_location":{"id":"doi:10.1109/ispa.2019.8868929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2019.8868929","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA)","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/A5025023437","display_name":"Luka Posilovi\u0107","orcid":"https://orcid.org/0000-0003-2639-0812"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Luka Posilovic","raw_affiliation_strings":["Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia","institution_ids":["https://openalex.org/I181343428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022360941","display_name":"Duje Medak","orcid":"https://orcid.org/0000-0001-6261-206X"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Duje Medak","raw_affiliation_strings":["Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia","institution_ids":["https://openalex.org/I181343428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080016463","display_name":"Marko Suba\u0161i\u0107","orcid":"https://orcid.org/0000-0002-4321-4557"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Marko Subasic","raw_affiliation_strings":["Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia","institution_ids":["https://openalex.org/I181343428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078745592","display_name":"Tomislav Petkovi\u0107","orcid":"https://orcid.org/0000-0002-3054-002X"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Tomislav Petkovic","raw_affiliation_strings":["Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia","institution_ids":["https://openalex.org/I181343428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041529931","display_name":"Marko Budimir","orcid":"https://orcid.org/0000-0001-6508-1305"},"institutions":[{"id":"https://openalex.org/I4210167128","display_name":"Inetec (Croatia)","ror":"https://ror.org/05yq3xa52","country_code":"HR","type":"company","lineage":["https://openalex.org/I4210167128"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Marko Budimir","raw_affiliation_strings":["INETEC Institute for Nuclear Technology, Dolenica, Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INETEC Institute for Nuclear Technology, Dolenica, Croatia","institution_ids":["https://openalex.org/I4210167128"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047540566","display_name":"Sven Lon\u010dari\u0107","orcid":"https://orcid.org/0000-0002-4857-5351"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Sven Loncaric","raw_affiliation_strings":["Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia","institution_ids":["https://openalex.org/I181343428"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"163","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9987000226974487,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7561233639717102},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6992772817611694},{"id":"https://openalex.org/keywords/ultrasonic-sensor","display_name":"Ultrasonic sensor","score":0.649482011795044},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6047313213348389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6009252071380615},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5188180804252625},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43212565779685974},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3236236572265625},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19993776082992554},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.1459478735923767},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.06879767775535583}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7561233639717102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6992772817611694},{"id":"https://openalex.org/C81288441","wikidata":"https://www.wikidata.org/wiki/Q20736125","display_name":"Ultrasonic sensor","level":2,"score":0.649482011795044},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6047313213348389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6009252071380615},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5188180804252625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43212565779685974},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3236236572265625},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19993776082992554},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.1459478735923767},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.06879767775535583},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispa.2019.8868929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2019.8868929","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W321230867","https://openalex.org/W571976983","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W1974852670","https://openalex.org/W2019328284","https://openalex.org/W2024181440","https://openalex.org/W2056237928","https://openalex.org/W2073606477","https://openalex.org/W2094826374","https://openalex.org/W2099727543","https://openalex.org/W2109007963","https://openalex.org/W2151103935","https://openalex.org/W2160486884","https://openalex.org/W2187098428","https://openalex.org/W2517582325","https://openalex.org/W2587663945","https://openalex.org/W2796347433","https://openalex.org/W2883486562","https://openalex.org/W2899691698","https://openalex.org/W2913429812","https://openalex.org/W2963037989","https://openalex.org/W3023347777","https://openalex.org/W3099726494","https://openalex.org/W3106250896","https://openalex.org/W4285719527","https://openalex.org/W4293584584","https://openalex.org/W6637373629","https://openalex.org/W6639102338","https://openalex.org/W6674488455","https://openalex.org/W6675076520","https://openalex.org/W6683640656","https://openalex.org/W6686862471","https://openalex.org/W6759057345","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W2618703391","https://openalex.org/W2361945759","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Non-destructive":[0],"ultrasonic":[1],"testing":[2],"(UT)":[3],"of":[4,28,105,112,118],"materials":[5],"is":[6,39],"used":[7],"for":[8,31,41,57,76],"monitoring":[9],"critical":[10],"parts":[11],"in":[12],"power":[13],"plants,":[14],"aeronautics,":[15],"oil":[16],"and":[17,20,82],"gas":[18],"industry,":[19],"space":[21],"industry.":[22],"Due":[23],"to":[24,35,44,54],"a":[25,32,42,93],"vast":[26],"amount":[27],"time":[29],"needed":[30],"human":[33],"expert":[34],"perform":[36],"inspection":[37,61],"it":[38],"practical":[40],"computer":[43],"take":[45],"over":[46],"that":[47,95],"task.":[48],"Some":[49],"attempts":[50],"have":[51],"been":[52],"made":[53],"produce":[55],"algorithms":[56],"automatic":[58],"UT":[59],"scan":[60],"mainly":[62],"using":[63],"older,":[64],"non-flexible":[65],"analysis":[66],"methods.":[67],"In":[68],"this":[69],"paper,":[70],"two":[71],"deep":[72],"learning":[73],"based":[74],"methods":[75],"flaw":[77],"detection":[78],"are":[79],"presented,":[80],"YOLO":[81,107],"SSD":[83,115],"convolutional":[84],"neural":[85],"networks.":[86],"The":[87],"methods'":[88],"performance":[89],"was":[90,96],"tested":[91],"on":[92],"dataset":[94],"acquired":[97],"by":[98],"scanning":[99],"metal":[100],"blocks":[101],"containing":[102],"different":[103],"types":[104],"defects.":[106],"achieved":[108,116],"average":[109],"precision":[110],"(AP)":[111],"89.7%":[113],"while":[114],"AP":[117],"84.5":[119],"%.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
