{"id":"https://openalex.org/W2920654954","doi":"https://doi.org/10.1109/access.2019.2902121","title":"Data Augmentation for X-Ray Prohibited Item Images Using Generative Adversarial Networks","display_name":"Data Augmentation for X-Ray Prohibited Item Images Using Generative Adversarial Networks","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2920654954","doi":"https://doi.org/10.1109/access.2019.2902121","mag":"2920654954"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2902121","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2902121","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08654640.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08654640.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027644159","display_name":"Jinfeng Yang","orcid":"https://orcid.org/0000-0002-0769-1655"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinfeng Yang","raw_affiliation_strings":["Shenzhen Polytechnic, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Polytechnic, Shenzhen, China","institution_ids":["https://openalex.org/I182722699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101419678","display_name":"Zihao Zhao","orcid":"https://orcid.org/0000-0003-2424-3368"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Zhao","raw_affiliation_strings":["Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-2424-3368","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103076960","display_name":"Haigang Zhang","orcid":"https://orcid.org/0000-0001-7696-3514"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haigang Zhang","raw_affiliation_strings":["Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-7696-3514","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022255417","display_name":"Yihua Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihua Shi","raw_affiliation_strings":["Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1750,"currency":"USD","value_usd":1750},"apc_paid":{"value":1750,"currency":"USD","value_usd":1750},"fwci":6.5712,"has_fulltext":true,"cited_by_count":80,"citation_normalized_percentile":{"value":0.97261471,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"28894","last_page":"28902"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9904000163078308,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.786733865737915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6419656872749329},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5192853808403015},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.49185824394226074},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.46392783522605896},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39726412296295166},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.291820764541626}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.786733865737915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6419656872749329},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5192853808403015},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.49185824394226074},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.46392783522605896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39726412296295166},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.291820764541626}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2902121","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2902121","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08654640.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:68b6bbe1a48b4bf381f36017f641144c","is_oa":true,"landing_page_url":"https://doaj.org/article/68b6bbe1a48b4bf381f36017f641144c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 28894-28902 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2902121","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2902121","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08654640.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3905560630","display_name":null,"funder_award_id":"61806208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8231183885","display_name":null,"funder_award_id":"61379102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2920654954.pdf","grobid_xml":"https://content.openalex.org/works/W2920654954.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W967544008","https://openalex.org/W2080142539","https://openalex.org/W2108315410","https://openalex.org/W2108598243","https://openalex.org/W2125389028","https://openalex.org/W2165430451","https://openalex.org/W2165672579","https://openalex.org/W2175342987","https://openalex.org/W2295475768","https://openalex.org/W2358876993","https://openalex.org/W2400159428","https://openalex.org/W2510597476","https://openalex.org/W2512351403","https://openalex.org/W2538394767","https://openalex.org/W2560431153","https://openalex.org/W2623550831","https://openalex.org/W2624777067","https://openalex.org/W2785678896","https://openalex.org/W2786015036","https://openalex.org/W2792998389","https://openalex.org/W2804078698","https://openalex.org/W2810809861","https://openalex.org/W2884065486","https://openalex.org/W2899013464","https://openalex.org/W2900028034","https://openalex.org/W2902792509","https://openalex.org/W2963373786","https://openalex.org/W2963942586","https://openalex.org/W2964057425","https://openalex.org/W4294643831","https://openalex.org/W4295521014","https://openalex.org/W4301206121","https://openalex.org/W4320013936","https://openalex.org/W6718379498","https://openalex.org/W6735913928","https://openalex.org/W6765779288"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Recognizing":[0],"prohibited":[1,50,91,101,170,223],"items":[2,102],"automatically":[3],"is":[4,69,198],"of":[5,21,33,57,119,164,206],"great":[6],"significance":[7],"for":[8,77,89,139],"intelligent":[9],"X-ray":[10,65,90,107,169,236],"baggage":[11,66,108],"security":[12],"screening.":[13],"Convolutional":[14],"neural":[15],"networks":[16,98],"(CNNs),":[17],"with":[18],"the":[19,29,36,63,117,120,146,180,207,215,221,230],"support":[20],"big":[22,71],"training":[23,142,167],"data,":[24],"have":[25],"been":[26],"verified":[27],"as":[28,229],"powerful":[30],"models":[31,152],"capable":[32],"reliably":[34,48],"detecting":[35],"expected":[37],"objects":[38],"in":[39,73,168],"images.":[40],"Therefore,":[41],"building":[42],"a":[43,86,111,127,141,190,195],"specific":[44],"CNN":[45,78,196,216],"model":[46,79,197],"working":[47],"on":[49,194],"item":[51,59,92,122,171,224],"detection":[52],"also":[53],"requires":[54],"large":[55],"amounts":[56],"labeled":[58],"image":[60,67,172,237],"data.":[61],"Unfortunately,":[62],"current":[64],"database":[68],"not":[70],"enough":[72],"count":[74],"and":[75,132,160],"diversity":[76],"training.":[80],"In":[81],"this":[82],"paper,":[83],"we":[84],"propose":[85],"novel":[87],"method":[88],"data":[93],"augmentation":[94],"using":[95,110,126,155],"generative":[96],"adversarial":[97],"(GANs).":[99],"The":[100,200],"are":[103,124,153,174],"first":[104],"extracted":[105],"from":[106],"images":[109,123,182,209,225],"K-nearest":[112],"neighbor":[113],"matting":[114],"scheme.":[115],"Then,":[116],"poses":[118],"obtained":[121],"estimated":[125],"space":[128],"rectangular":[129],"coordinate":[130],"system":[131],"categorized":[133],"into":[134],"four":[135],"or":[136,188],"eight":[137],"classes":[138],"constructing":[140],"database.":[143,238],"For":[144],"generating":[145],"realistic":[147],"samples":[148,232],"reliably,":[149],"different":[150],"GAN":[151,166],"evaluated":[154],"Frechet":[156],"Inception":[157],"Distance":[158],"scores,":[159],"some":[161],"important":[162],"tips":[163],"handling":[165],"generation":[173],"reported.":[175],"Finally,":[176],"to":[177,184,233],"verify":[178],"whether":[179],"generated":[181,208,222],"belong":[183],"its":[185],"corresponding":[186],"class":[187],"not,":[189],"cross-validation":[191],"scheme":[192],"based":[193],"implemented.":[199],"experimental":[201],"results":[202],"show":[203],"that":[204,220],"most":[205],"can":[210,226],"be":[211,227],"classified":[212],"correctly":[213],"by":[214],"model.":[217],"This":[218],"implies":[219],"used":[228],"extended":[231],"augment":[234],"an":[235]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}