{"id":"https://openalex.org/W2134577949","doi":"https://doi.org/10.1109/icarcv.2008.4795617","title":"Development of glass bottle inspector based on machine vision","display_name":"Development of glass bottle inspector based on machine vision","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2134577949","doi":"https://doi.org/10.1109/icarcv.2008.4795617","mag":"2134577949"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2008.4795617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2008.4795617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 10th International Conference on Control, Automation, Robotics and Vision","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/A5102854799","display_name":"Huanjun Liu","orcid":"https://orcid.org/0000-0003-1392-0407"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huanjun Liu","raw_affiliation_strings":["Faculty of Automation, Guangdong University of Technology, Guangzhou, China","Fac. of Autom., Guangdong Univ. of Technol., Guangzhou"],"affiliations":[{"raw_affiliation_string":"Faculty of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"Fac. of Autom., Guangdong Univ. of Technol., Guangzhou","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025640070","display_name":"Yaonan Wang","orcid":"https://orcid.org/0000-0002-0519-6458"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaonan Wang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","[Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha]"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"[Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha]","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102854799"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.19571865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"785","last_page":"790"},"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":0.9991000294685364,"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":0.9991000294685364,"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":0.9843000173568726,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9713000059127808,"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/bottle","display_name":"Bottle","score":0.7854894399642944},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7377445697784424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6935538053512573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6588411927223206},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.609574556350708},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.5931057929992676},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.513261079788208},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.49668365716934204},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47854217886924744},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.43450722098350525},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.41258862614631653},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4031277894973755},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20921191573143005}],"concepts":[{"id":"https://openalex.org/C32236832","wikidata":"https://www.wikidata.org/wiki/Q80228","display_name":"Bottle","level":2,"score":0.7854894399642944},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7377445697784424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6935538053512573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6588411927223206},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.609574556350708},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.5931057929992676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.513261079788208},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49668365716934204},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47854217886924744},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.43450722098350525},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.41258862614631653},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4031277894973755},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20921191573143005},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2008.4795617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2008.4795617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 10th International Conference on Control, Automation, Robotics and Vision","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W247104752","https://openalex.org/W1935210837","https://openalex.org/W1986318154","https://openalex.org/W1998255116","https://openalex.org/W2009897786","https://openalex.org/W2013927912","https://openalex.org/W2100128988","https://openalex.org/W2100805904","https://openalex.org/W2101892598","https://openalex.org/W2115755118","https://openalex.org/W2116044718","https://openalex.org/W2128934264","https://openalex.org/W2148603752","https://openalex.org/W2157447450","https://openalex.org/W2168512995","https://openalex.org/W6677322329"],"related_works":["https://openalex.org/W2163073107","https://openalex.org/W2160451891","https://openalex.org/W2371096191","https://openalex.org/W3200612453","https://openalex.org/W2091064836","https://openalex.org/W2041246122","https://openalex.org/W2890138326","https://openalex.org/W1577789985","https://openalex.org/W4223656335","https://openalex.org/W2041636156"],"abstract_inverted_index":{"This":[0],"text":[1,25],"studies":[2],"glass":[3,111],"bottle":[4,44,57],"intelligent":[5],"inspector":[6,108],"based":[7,29,89],"machine":[8,68],"vision":[9],"instead":[10],"of":[11,43,56],"manual":[12],"inspection.":[13],"The":[14,24,102],"system":[15],"structure":[16],"is":[17,70,92],"illustrated":[18],"in":[19,21],"detail":[20],"this":[22,107],"paper.":[23],"presents":[26],"the":[27,36,64,78,87,96,113],"method":[28,91],"on":[30],"watershed":[31],"transform":[32,50],"methods":[33],"to":[34,53,94,109],"segment":[35],"possible":[37],"defective":[38],"regions":[39],"and":[40],"extract":[41],"features":[42,55],"wall":[45],"by":[46],"rules.":[47],"Then":[48],"wavelet":[49],"are":[51],"used":[52,93],"exact":[54],"finish":[58],"from":[59],"images.":[60],"After":[61],"extracting":[62],"features,":[63],"fuzzy":[65,79,98],"support":[66,80,99],"vector":[67,81,100],"ensemble":[69,90],"putted":[71],"forward":[72],"as":[73],"classifier.":[74],"For":[75],"ensuring":[76],"that":[77,105],"machines":[82],"have":[83],"good":[84],"classification":[85],"ability,":[86],"GA":[88],"combining":[95],"several":[97],"machines.":[101],"experiments":[103],"demonstrate":[104],"using":[106],"inspect":[110],"bottles,":[112],"accuracy":[114],"rate":[115],"may":[116],"reach":[117],"above":[118],"97.5%.":[119]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
