{"id":"https://openalex.org/W3008534551","doi":"https://doi.org/10.1007/s10489-020-01641-3","title":"Intelligent detection of edge inconsistency for mechanical workpiece by machine vision with deep learning and variable geometry model","display_name":"Intelligent detection of edge inconsistency for mechanical workpiece by machine vision with deep learning and variable geometry model","publication_year":2020,"publication_date":"2020-02-28","ids":{"openalex":"https://openalex.org/W3008534551","doi":"https://doi.org/10.1007/s10489-020-01641-3","mag":"3008534551"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-020-01641-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-020-01641-3","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","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/A5100398295","display_name":"Xiankun Lin","orcid":"https://orcid.org/0000-0003-4929-2094"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiankun Lin","raw_affiliation_strings":["School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100617364","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0002-5854-5287"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100360961","display_name":"Li Li","orcid":"https://orcid.org/0000-0001-5097-9972"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Li","raw_affiliation_strings":["School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China","institution_ids":["https://openalex.org/I148128674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100398295"],"corresponding_institution_ids":["https://openalex.org/I148128674"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":4.8667,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.95168207,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"50","issue":"7","first_page":"2105","last_page":"2119"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T10188","display_name":"Advanced machining processes and optimization","score":0.9976000189781189,"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/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9957000017166138,"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/computer-science","display_name":"Computer science","score":0.7629112005233765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6989853978157043},{"id":"https://openalex.org/keywords/hausdorff-distance","display_name":"Hausdorff distance","score":0.6074753403663635},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5824216604232788},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5810609459877014},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5474787354469299},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4825936555862427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4762040376663208},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.47025999426841736},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4470217823982239},{"id":"https://openalex.org/keywords/geometric-shape","display_name":"Geometric shape","score":0.4456251859664917},{"id":"https://openalex.org/keywords/machining","display_name":"Machining","score":0.4356766641139984},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43179944157600403},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.41441068053245544},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3985031545162201},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22742125391960144},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1835142970085144},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.182728111743927},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17050179839134216}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7629112005233765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6989853978157043},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.6074753403663635},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5824216604232788},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5810609459877014},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5474787354469299},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4825936555862427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4762040376663208},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.47025999426841736},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4470217823982239},{"id":"https://openalex.org/C7305733","wikidata":"https://www.wikidata.org/wiki/Q207961","display_name":"Geometric shape","level":2,"score":0.4456251859664917},{"id":"https://openalex.org/C523214423","wikidata":"https://www.wikidata.org/wiki/Q192047","display_name":"Machining","level":2,"score":0.4356766641139984},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43179944157600403},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.41441068053245544},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3985031545162201},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22742125391960144},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1835142970085144},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.182728111743927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17050179839134216},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-020-01641-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-020-01641-3","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5843721423","display_name":null,"funder_award_id":"51005158","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1617736874","https://openalex.org/W1624980979","https://openalex.org/W1917968759","https://openalex.org/W1971994867","https://openalex.org/W1977674021","https://openalex.org/W2003522258","https://openalex.org/W2035730680","https://openalex.org/W2042742493","https://openalex.org/W2088611446","https://openalex.org/W2114846024","https://openalex.org/W2119419202","https://openalex.org/W2160754664","https://openalex.org/W2259111169","https://openalex.org/W2280622868","https://openalex.org/W2316109659","https://openalex.org/W2398534284","https://openalex.org/W2460849547","https://openalex.org/W2462290730","https://openalex.org/W2468676150","https://openalex.org/W2515696332","https://openalex.org/W2518260411","https://openalex.org/W2525076183","https://openalex.org/W2530054501","https://openalex.org/W2554150382","https://openalex.org/W2559995013","https://openalex.org/W2560385169","https://openalex.org/W2594027777","https://openalex.org/W2604283064","https://openalex.org/W2610077466","https://openalex.org/W2621922458","https://openalex.org/W2728074186","https://openalex.org/W2740906077","https://openalex.org/W2749871042","https://openalex.org/W2750002240","https://openalex.org/W2752996268","https://openalex.org/W2767299873","https://openalex.org/W2782812883","https://openalex.org/W2784163702","https://openalex.org/W2784776177","https://openalex.org/W2790094512","https://openalex.org/W2801641166","https://openalex.org/W2804140204","https://openalex.org/W2804383999","https://openalex.org/W2884786778","https://openalex.org/W2896228796","https://openalex.org/W2899878146","https://openalex.org/W2919115771","https://openalex.org/W2939171568","https://openalex.org/W2961333734","https://openalex.org/W2962949934","https://openalex.org/W3103152812","https://openalex.org/W4231109964"],"related_works":["https://openalex.org/W2803338891","https://openalex.org/W2112229447","https://openalex.org/W2043267898","https://openalex.org/W2136359393","https://openalex.org/W2063119839","https://openalex.org/W2036155574","https://openalex.org/W2053955898","https://openalex.org/W3125779006","https://openalex.org/W2355268135","https://openalex.org/W2356900083"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
