{"id":"https://openalex.org/W4388660747","doi":"https://doi.org/10.1117/1.jei.32.6.063007","title":"STD-Detector: spatial-to-depth feature-enhanced detection method for the surface defect detection of strip steel","display_name":"STD-Detector: spatial-to-depth feature-enhanced detection method for the surface defect detection of strip steel","publication_year":2023,"publication_date":"2023-11-14","ids":{"openalex":"https://openalex.org/W4388660747","doi":"https://doi.org/10.1117/1.jei.32.6.063007"},"language":"en","primary_location":{"id":"doi:10.1117/1.jei.32.6.063007","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/1.jei.32.6.063007","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronic Imaging","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/A5100754261","display_name":"Chunmei Wang","orcid":"https://orcid.org/0000-0001-8576-2933"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunmei Wang","raw_affiliation_strings":["Xi\u2019an University of Posts and Telecommunications, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an University of Posts and Telecommunications, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043366029","display_name":"Huan Liu","orcid":"https://orcid.org/0000-0002-9403-9699"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huan Liu","raw_affiliation_strings":["Xi\u2019an University of Posts and Telecommunications, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an University of Posts and Telecommunications, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038725235","display_name":"Xiaobao Yang","orcid":"https://orcid.org/0000-0003-1515-8663"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobao Yang","raw_affiliation_strings":["Xi\u2019an University of Posts and Telecommunications, Xi\u2019an, China","Northwestern Polytechnical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an University of Posts and Telecommunications, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"Northwestern Polytechnical Univ. (China)","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101351569","display_name":"Sugang Ma","orcid":"https://orcid.org/0000-0001-7988-5099"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]},{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sugang Ma","raw_affiliation_strings":["Xi\u2019an University of Posts and Telecommunications, Xi\u2019an, China","Chang'an Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an University of Posts and Telecommunications, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"Chang'an Univ. (China)","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100522059","display_name":"Jin Zhonghui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhonghui Jin","raw_affiliation_strings":["Shaanxi Effic Energy Technology Co., Ltd., Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Effic Energy Technology Co., Ltd., Xi\u2019an, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5043366029"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.4073,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69625883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"32","issue":"06","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9998000264167786,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9983999729156494,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9980999827384949,"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/robustness","display_name":"Robustness (evolution)","score":0.8027455806732178},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6538468599319458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6397780179977417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6107709407806396},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6076372265815735},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.580776572227478},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.571656346321106},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5061954855918884},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.45256027579307556},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4292010962963104},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08292114734649658}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8027455806732178},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6538468599319458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6397780179977417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6107709407806396},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6076372265815735},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.580776572227478},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.571656346321106},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5061954855918884},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.45256027579307556},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4292010962963104},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08292114734649658},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/1.jei.32.6.063007","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/1.jei.32.6.063007","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronic Imaging","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":46,"referenced_works":["https://openalex.org/W2752782242","https://openalex.org/W2884585870","https://openalex.org/W2912873949","https://openalex.org/W2962927175","https://openalex.org/W3002731007","https://openalex.org/W3034552520","https://openalex.org/W3096609285","https://openalex.org/W3118660043","https://openalex.org/W3119205652","https://openalex.org/W3132936317","https://openalex.org/W3133230302","https://openalex.org/W3137333070","https://openalex.org/W3157042932","https://openalex.org/W3157386596","https://openalex.org/W3163646131","https://openalex.org/W3181721058","https://openalex.org/W3193832597","https://openalex.org/W3211193475","https://openalex.org/W3215846555","https://openalex.org/W4200464384","https://openalex.org/W4206914912","https://openalex.org/W4210598935","https://openalex.org/W4211237505","https://openalex.org/W4213412151","https://openalex.org/W4225898116","https://openalex.org/W4226027146","https://openalex.org/W4285109947","https://openalex.org/W4312553330","https://openalex.org/W4327652243","https://openalex.org/W4360985909","https://openalex.org/W4362475687","https://openalex.org/W4362655774","https://openalex.org/W4372348758","https://openalex.org/W4386071592","https://openalex.org/W4386076079","https://openalex.org/W4386083048","https://openalex.org/W6631782140","https://openalex.org/W6747494218","https://openalex.org/W6753412334","https://openalex.org/W6790800507","https://openalex.org/W6799630308","https://openalex.org/W6844712807","https://openalex.org/W6847037703","https://openalex.org/W6850295594","https://openalex.org/W6851783064","https://openalex.org/W7140225147"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2366906938","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2000775715","https://openalex.org/W2795393339","https://openalex.org/W2770593030","https://openalex.org/W2074467390","https://openalex.org/W1996690921","https://openalex.org/W2969228573"],"abstract_inverted_index":{"Due":[0],"to":[1,59,69,87,103],"the":[2,15,48,54,61,67,78,89,98,109,112,118,138,142,159],"small":[3],"size,":[4],"high":[5],"density,":[6],"and":[7,45,65,107],"background":[8,75,105],"noise":[9],"associated":[10],"with":[11,141],"strip":[12,152],"surface":[13,153,161],"defects,":[14],"current":[16],"object":[17],"detection":[18,34],"model":[19,68],"commonly":[20],"faces":[21],"limitations":[22],"in":[23,53,150],"performance.":[24],"To":[25],"address":[26],"this":[27],"issue,":[28],"we":[29,96],"propose":[30],"a":[31,71,126,134],"spatial-to-depth":[32],"feature-enhanced":[33],"method":[35,39,124,146,167],"called":[36],"STD-Detector.":[37],"The":[38],"consists":[40],"of":[41,63,74,91,111,130],"two":[42],"types":[43],"STD-Conv-A":[44,49],"STD-Conv-B.":[46],"First,":[47],"module":[50,80,102],"is":[51,81],"used":[52,82],"backbone":[55],"feature":[56,84],"extraction":[57],"network":[58],"expand":[60],"field":[62],"perception":[64],"enable":[66],"learn":[70],"wider":[72],"range":[73],"information.":[76],"Then,":[77],"STD-Conv-B":[79],"for":[83],"fusion":[85],"networks":[86],"improve":[88],"expression":[90],"output":[92],"features.":[93],"In":[94],"addition,":[95],"incorporate":[97],"convolutional":[99],"block":[100],"attention":[101],"mitigate":[104],"interference":[106],"enhance":[108],"performance":[110],"model.":[113],"Finally,":[114],"experimental":[115,156],"results":[116,157],"on":[117,158],"NEU-DET":[119],"dataset":[120,163],"show":[121,164],"that":[122,165],"our":[123,145,166],"achieves":[125],"mean":[127],"average":[128],"precision":[129],"82.9%,":[131],"which":[132],"represents":[133],"3.9%":[135],"improvement":[136],"over":[137],"baseline.":[139],"Compared":[140],"state-of-the-art":[143],"model,":[144],"exhibits":[147],"greater":[148],"competitiveness":[149],"detecting":[151],"defects.":[154],"Moreover,":[155],"road":[160],"defect":[162],"has":[168],"good":[169],"robustness.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}
