{"id":"https://openalex.org/W1575550427","doi":"https://doi.org/10.1109/ijcnn.2005.1556265","title":"Cosmetic defect classification found in ophthalmic lenses using artificial neural networks","display_name":"Cosmetic defect classification found in ophthalmic lenses using artificial neural networks","publication_year":2006,"publication_date":"2006-01-05","ids":{"openalex":"https://openalex.org/W1575550427","doi":"https://doi.org/10.1109/ijcnn.2005.1556265","mag":"1575550427"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1556265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556265","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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/A5097169482","display_name":"M.I. Chacon M.","orcid":null},"institutions":[{"id":"https://openalex.org/I142652706","display_name":"Autonomous University of Chihuahua","ror":"https://ror.org/04mrrw205","country_code":"MX","type":"education","lineage":["https://openalex.org/I142652706"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"M.I. Chacon M.","raw_affiliation_strings":["Chihuahua Institute of Technology, DSP & Vision Lab, Mexico","DSP & Vision Lab., Chihuahua Institute of Technology, Mexico"],"affiliations":[{"raw_affiliation_string":"Chihuahua Institute of Technology, DSP & Vision Lab, Mexico","institution_ids":["https://openalex.org/I142652706"]},{"raw_affiliation_string":"DSP & Vision Lab., Chihuahua Institute of Technology, Mexico","institution_ids":["https://openalex.org/I142652706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103828528","display_name":"D.A. Rodriguez V.","orcid":null},"institutions":[{"id":"https://openalex.org/I142652706","display_name":"Autonomous University of Chihuahua","ror":"https://ror.org/04mrrw205","country_code":"MX","type":"education","lineage":["https://openalex.org/I142652706"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"D.A. Rodriguez V.","raw_affiliation_strings":["Chihuahua Institute of Technology, DSP & Vision Lab, Mexico","DSP & Vision Lab., Chihuahua Institute of Technology, Mexico"],"affiliations":[{"raw_affiliation_string":"Chihuahua Institute of Technology, DSP & Vision Lab, Mexico","institution_ids":["https://openalex.org/I142652706"]},{"raw_affiliation_string":"DSP & Vision Lab., Chihuahua Institute of Technology, Mexico","institution_ids":["https://openalex.org/I142652706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101332847","display_name":"Jia M.","orcid":null},"institutions":[{"id":"https://openalex.org/I142652706","display_name":"Autonomous University of Chihuahua","ror":"https://ror.org/04mrrw205","country_code":"MX","type":"education","lineage":["https://openalex.org/I142652706"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"J. Rivera M.","raw_affiliation_strings":["Chihuahua Institute of Technology, DSP & Vision Lab, Mexico","DSP & Vision Lab., Chihuahua Institute of Technology, Mexico"],"affiliations":[{"raw_affiliation_string":"Chihuahua Institute of Technology, DSP & Vision Lab, Mexico","institution_ids":["https://openalex.org/I142652706"]},{"raw_affiliation_string":"DSP & Vision Lab., Chihuahua Institute of Technology, Mexico","institution_ids":["https://openalex.org/I142652706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054909823","display_name":"S. Aji","orcid":null},"institutions":[{"id":"https://openalex.org/I142652706","display_name":"Autonomous University of Chihuahua","ror":"https://ror.org/04mrrw205","country_code":"MX","type":"education","lineage":["https://openalex.org/I142652706"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"A.J. Astudillo S.","raw_affiliation_strings":["Chihuahua Institute of Technology, DSP & Vision Lab, Mexico","DSP & Vision Lab., Chihuahua Institute of Technology, Mexico"],"affiliations":[{"raw_affiliation_string":"Chihuahua Institute of Technology, DSP & Vision Lab, Mexico","institution_ids":["https://openalex.org/I142652706"]},{"raw_affiliation_string":"DSP & Vision Lab., Chihuahua Institute of Technology, Mexico","institution_ids":["https://openalex.org/I142652706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5097169482"],"corresponding_institution_ids":["https://openalex.org/I142652706"],"apc_list":null,"apc_paid":null,"fwci":5.4957,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.95026178,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"2330","last_page":"2334"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.991599977016449,"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-neural-network","display_name":"Artificial neural network","score":0.8111823797225952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.752514123916626},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7412590384483337},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.67620849609375},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5991171002388},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5650650858879089},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5401380062103271},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5188892483711243},{"id":"https://openalex.org/keywords/subjectivity","display_name":"Subjectivity","score":0.4401176869869232},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43961039185523987},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0654759407043457}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.8111823797225952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.752514123916626},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7412590384483337},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67620849609375},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5991171002388},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5650650858879089},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5401380062103271},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5188892483711243},{"id":"https://openalex.org/C202889954","wikidata":"https://www.wikidata.org/wiki/Q1139554","display_name":"Subjectivity","level":2,"score":0.4401176869869232},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43961039185523987},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0654759407043457},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2005.1556265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556265","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W149807329","https://openalex.org/W1827860940","https://openalex.org/W1855647674","https://openalex.org/W2032094255","https://openalex.org/W2050540505","https://openalex.org/W2083505310","https://openalex.org/W2091250708","https://openalex.org/W2105515453","https://openalex.org/W2111103294","https://openalex.org/W2142133799","https://openalex.org/W2142459680","https://openalex.org/W2161663128","https://openalex.org/W3111491314","https://openalex.org/W3148499377","https://openalex.org/W4235187403","https://openalex.org/W4239107805","https://openalex.org/W4245176872","https://openalex.org/W4300497458","https://openalex.org/W6606088559"],"related_works":["https://openalex.org/W2392615731","https://openalex.org/W2380604072","https://openalex.org/W2376320687","https://openalex.org/W2555356437","https://openalex.org/W2417891382","https://openalex.org/W2083196709","https://openalex.org/W2023924986","https://openalex.org/W2005234362","https://openalex.org/W2162970382","https://openalex.org/W1997235926"],"abstract_inverted_index":{"This":[0,153],"paper":[1,77,129],"presents":[2],"the":[3,39,43,46,65,68,84,103,110,113,119,131,150,162,165,174],"solution":[4],"of":[5,11,36,45,58,67,79,86,112,121,133,157,173],"a":[6,34,50,54,99,145],"specific":[7],"classification":[8,10,32,159],"problem":[9],"cosmetic":[12,30,47,125],"defect":[13,31,48],"found":[14],"in":[15,61,75,118],"ophthalmic":[16],"lenses":[17],"-":[18],"using":[19],"artificial":[20],"neural":[21,71,114],"networks":[22],"(ANN).":[23],"In":[24],"an":[25],"ordinary":[26],"industrial":[27],"inspection":[28,104],"process":[29],"involves":[33],"lot":[35],"subjectivity":[37,172],"because":[38,81],"test":[40],"depends":[41],"on":[42],"appreciation":[44],"by":[49,106],"human":[51,107],"inspector.":[52],"Therefore,":[53],"machine":[55],"classifier":[56,73,94,140,154],"is":[57,78],"great":[59],"help":[60],"order":[62],"to":[63,88,97,143,171],"reduce":[64],"effect":[66],"subjectivity.":[69],"The":[70,93,128,138],"network":[72,115],"described":[74],"this":[76],"relevance":[80],"it":[82],"demonstrates":[83],"applicability":[85],"ANN":[87,135],"solve":[89],"real":[90],"world":[91],"problems.":[92],"also":[95],"helped":[96],"discover":[98],"bias":[100],"criteria":[101],"during":[102,124],"performed":[105],"inspectors.":[108],"Besides,":[109],"performance":[111,132],"impacts":[116],"positively":[117],"cost":[120],"incorrect":[122],"decisions":[123],"lens":[126],"inspection.":[127,175],"shows":[130],"several":[134],"classifiers":[136],"designed.":[137],"best":[139],"turned":[141],"out":[142],"be":[144],"multilayer":[146],"perceptron":[147],"trained":[148],"with":[149],"backpropagation":[151],"algorithm.":[152],"has":[155],"94%":[156],"correct":[158],"and":[160,167],"solves":[161],"controversies":[163],"between":[164],"production":[166],"quality":[168],"departments":[169],"due":[170]},"counts_by_year":[],"updated_date":"2026-02-25T21:11:00.739837","created_date":"2025-10-10T00:00:00"}