{"id":"https://openalex.org/W4404608898","doi":"https://doi.org/10.1109/icmlca63499.2024.10753946","title":"A Review of Research on Machine Vision-Based Dimensional Measurement Methods for Parts","display_name":"A Review of Research on Machine Vision-Based Dimensional Measurement Methods for Parts","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4404608898","doi":"https://doi.org/10.1109/icmlca63499.2024.10753946"},"language":"en","primary_location":{"id":"doi:10.1109/icmlca63499.2024.10753946","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icmlca63499.2024.10753946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Machine Learning and Computer Application (ICMLCA)","raw_type":"proceedings-article"},"type":"review","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/A5107678611","display_name":"Lei Ding","orcid":"https://orcid.org/0009-0006-5201-5564"},"institutions":[{"id":"https://openalex.org/I4210136047","display_name":"Weifang University of Science and Technology","ror":"https://ror.org/04ha2bb10","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136047"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Ding","raw_affiliation_strings":["Shandong Vocational College of Information Technology,Shandong,Weifang"],"affiliations":[{"raw_affiliation_string":"Shandong Vocational College of Information Technology,Shandong,Weifang","institution_ids":["https://openalex.org/I4210136047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017062086","display_name":"Hong Xu","orcid":"https://orcid.org/0000-0002-4730-9625"},"institutions":[{"id":"https://openalex.org/I4210136047","display_name":"Weifang University of Science and Technology","ror":"https://ror.org/04ha2bb10","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136047"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Xu","raw_affiliation_strings":["Shandong Vocational College of Information Technology,Shandong,Weifang"],"affiliations":[{"raw_affiliation_string":"Shandong Vocational College of Information Technology,Shandong,Weifang","institution_ids":["https://openalex.org/I4210136047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063095479","display_name":"Bing Xu","orcid":"https://orcid.org/0000-0002-2903-578X"},"institutions":[{"id":"https://openalex.org/I119868032","display_name":"Shanxi Agricultural University","ror":"https://ror.org/05e9f5362","country_code":"CN","type":"education","lineage":["https://openalex.org/I119868032"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Xu","raw_affiliation_strings":["Shanxi Agricultural University,Shanxi,Jinzhong"],"affiliations":[{"raw_affiliation_string":"Shanxi Agricultural University,Shanxi,Jinzhong","institution_ids":["https://openalex.org/I119868032"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074607751","display_name":"Peng Du","orcid":"https://orcid.org/0000-0001-6628-6521"},"institutions":[{"id":"https://openalex.org/I4210136047","display_name":"Weifang University of Science and Technology","ror":"https://ror.org/04ha2bb10","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136047"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Du","raw_affiliation_strings":["Shandong Vocational College of Information Technology,Shandong,Weifang"],"affiliations":[{"raw_affiliation_string":"Shandong Vocational College of Information Technology,Shandong,Weifang","institution_ids":["https://openalex.org/I4210136047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5107678611"],"corresponding_institution_ids":["https://openalex.org/I4210136047"],"apc_list":null,"apc_paid":null,"fwci":0.7014,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.75528082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"376","last_page":"381"},"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":0.9968000054359436,"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":0.9968000054359436,"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/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9868999719619751,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9824000000953674,"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":0.7047754526138306},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.5814957022666931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4640601873397827},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40397942066192627},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.37303411960601807},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16940441727638245}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7047754526138306},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.5814957022666931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4640601873397827},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40397942066192627},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.37303411960601807},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16940441727638245}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlca63499.2024.10753946","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icmlca63499.2024.10753946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Machine Learning and Computer Application (ICMLCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"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":{"With":[0],"the":[1,10,31,42,53,82,91,94,101,104,107,111,116,122,132,135,140,151],"continual":[2],"advancement":[3],"of":[4,12,33,44,93,103,106,118,134,155],"industrialization":[5],"and":[6,41,50,63,70,76,85,110,129,139,153,166],"automation":[7],"levels":[8],"in":[9,90,131],"context":[11,92,133],"Intelligent":[13],"Manufacturing":[14],"2025,":[15],"machine":[16,34,56,162],"vision-based":[17],"part-size":[18],"measuring":[19,158],"technology":[20,126,147,159],"has":[21],"emerged":[22],"as":[23],"a":[24,64,167],"research":[25,46,171],"hotspot.":[26],"First,":[27],"this":[28],"paper":[29],"explains":[30],"history":[32],"vision":[35,57,163],"technology's":[36],"development,":[37],"its":[38,45],"fundamental":[39],"ideas,":[40],"state":[43],"both":[47],"at":[48],"home":[49],"abroad.":[51],"Next,":[52],"challenges":[54],"facing":[55],"measurement":[58,68,117],"accuracy":[59,69],"today":[60],"are":[61,88,164],"identified,":[62],"solution":[65],"to":[66],"increase":[67],"efficiency":[71],"through":[72],"two":[73],"factors-hardware":[74],"system":[75],"software":[77,136],"processing":[78,137],"algorithm-is":[79],"proposed.":[80],"Second,":[81],"light":[83,108],"source":[84,109],"lighting":[86,112],"technique":[87,113],"examined":[89,130],"hardware":[95],"system,":[96],"with":[97],"an":[98],"emphasis":[99],"on":[100,161],"analysis":[102],"selection":[105],"appropriate":[114],"for":[115,169],"part":[119,156],"dimensions;":[120],"Third,":[121],"sub-pixel":[123,144],"edge":[124,145],"detection":[125,146],"is":[127,148,172],"investigated":[128],"algorithm,":[138],"most":[141],"widely":[142],"applied":[143],"summarized.":[149],"Finally,":[150],"qualities":[152],"limits":[154],"size":[157],"based":[160],"outlined,":[165],"roadmap":[168],"further":[170],"suggested.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}