{"id":"https://openalex.org/W2766884697","doi":"https://doi.org/10.1109/icinfa.2017.8079052","title":"Research on real-time quality inspection of PET bottle caps","display_name":"Research on real-time quality inspection of PET bottle caps","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2766884697","doi":"https://doi.org/10.1109/icinfa.2017.8079052","mag":"2766884697"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2017.8079052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2017.8079052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Information and Automation (ICIA)","raw_type":"proceedings-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/A5100413855","display_name":"Min Xu","orcid":"https://orcid.org/0000-0002-1196-8346"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Xu","raw_affiliation_strings":["Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning Province, China"],"affiliations":[{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning Province, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100694246","display_name":"Yue Ma","orcid":"https://orcid.org/0009-0005-7477-5938"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Ma","raw_affiliation_strings":["Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning Province, China"],"affiliations":[{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning Province, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100396688","display_name":"Shuai Chen","orcid":"https://orcid.org/0000-0002-8562-5784"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Chen","raw_affiliation_strings":["Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning Province, China"],"affiliations":[{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning Province, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100413855"],"corresponding_institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.2144021,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"28","issue":null,"first_page":"1023","last_page":"1026"},"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":1.0,"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":1.0,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9955000281333923,"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"}},{"id":"https://openalex.org/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7674473524093628},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7300271987915039},{"id":"https://openalex.org/keywords/hsl-and-hsv","display_name":"HSL and HSV","score":0.6400116086006165},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.618035078048706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5601149797439575},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.5333568453788757},{"id":"https://openalex.org/keywords/visual-inspection","display_name":"Visual inspection","score":0.47997379302978516},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.45381802320480347},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4532705843448639},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.4470950961112976},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42190372943878174},{"id":"https://openalex.org/keywords/bottle","display_name":"Bottle","score":0.41637223958969116},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.41195616126060486},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2939738631248474},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22892069816589355}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7674473524093628},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7300271987915039},{"id":"https://openalex.org/C36372059","wikidata":"https://www.wikidata.org/wiki/Q376492","display_name":"HSL and HSV","level":3,"score":0.6400116086006165},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.618035078048706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5601149797439575},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.5333568453788757},{"id":"https://openalex.org/C168820333","wikidata":"https://www.wikidata.org/wiki/Q448889","display_name":"Visual inspection","level":2,"score":0.47997379302978516},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.45381802320480347},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4532705843448639},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.4470950961112976},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42190372943878174},{"id":"https://openalex.org/C32236832","wikidata":"https://www.wikidata.org/wiki/Q80228","display_name":"Bottle","level":2,"score":0.41637223958969116},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.41195616126060486},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2939738631248474},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22892069816589355},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"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/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2522874641","wikidata":"https://www.wikidata.org/wiki/Q808","display_name":"Virus","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icinfa.2017.8079052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2017.8079052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Information and Automation (ICIA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4000000059604645,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2100876665","https://openalex.org/W2359105433","https://openalex.org/W2372192664","https://openalex.org/W2393716446","https://openalex.org/W2761001749","https://openalex.org/W7071149767"],"related_works":["https://openalex.org/W2076371382","https://openalex.org/W2364571238","https://openalex.org/W2146231945","https://openalex.org/W2110823243","https://openalex.org/W2009825974","https://openalex.org/W2362676833","https://openalex.org/W2103827867","https://openalex.org/W2278007922","https://openalex.org/W2969263829","https://openalex.org/W2024032969"],"abstract_inverted_index":{"Online":[0],"quality":[1,10],"inspection":[2,169],"is":[3],"an":[4,172],"effective":[5],"way":[6],"to":[7,49,81,107,175,181],"guarantee":[8],"the":[9,16,51,64,69,75,83,87,91,101,113,118,136,140,143,150,154,161,167,178],"of":[11,37,63,71,109,133],"PET":[12,38,65],"bottles":[13,183],"packaging":[14],"on":[15,24],"high-speed":[17],"filling":[18],"production":[19],"line.":[20],"This":[21],"paper":[22],"focused":[23],"studying":[25],"and":[26,59,142,177],"developing":[27],"a":[28,78,99],"machine":[29],"vision":[30],"inspecting":[31],"system":[32,170],"for":[33],"on-line":[34],"defects":[35,53],"detection":[36],"caps":[39],"without":[40],"support":[41],"rings.":[42],"An":[43],"image":[44,89,93],"processing":[45],"algorithm":[46,76],"was":[47,104,122,146,157],"proposed":[48],"detecting":[50,68],"serious":[52],"such":[54],"as":[55,98],"surface":[56,72],"foreign":[57,73],"matters":[58],"link":[60,110,144],"ring":[61,111,145],"broken":[62],"caps.":[66],"For":[67],"defect":[70,108],"matters,":[74],"employed":[77],"mean":[79],"filtering":[80],"estimate":[82],"background,":[84],"then":[85],"compared":[86],"inspected":[88],"with":[90],"background":[92],"by":[94,125],"using":[95],"dynamic":[96],"threshold,":[97],"result,":[100],"crack":[102],"region":[103,156],"extracted.":[105],"As":[106],"broken,":[112],"uneven":[114],"gray-scale":[115],"distribution":[116],"in":[117,149],"RGB":[119],"color":[120,127],"space":[121,128],"extremely":[123],"improved":[124],"HSV":[126,134],"transform.":[129],"Compared":[130],"three":[131],"components":[132],"images,":[135],"gap":[137,155],"feature":[138],"between":[139],"cap":[141],"more":[147],"obvious":[148],"saturation":[151,162],"image.":[152,163],"Hence,":[153],"extracted":[158],"through":[159],"segmenting":[160],"Experiments":[164],"demonstrate":[165],"that":[166],"designed":[168],"has":[171],"accuracy":[173],"up":[174,180],"97%":[176],"speed":[179],"34000":[182],"per":[184],"hour.":[185]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
