{"id":"https://openalex.org/W2139453496","doi":"https://doi.org/10.1109/ijcnn.2007.4371058","title":"Recognition of Natural and Non-Natural Defects Presented in Ophthalmic Lenses","display_name":"Recognition of Natural and Non-Natural Defects Presented in Ophthalmic Lenses","publication_year":2007,"publication_date":"2007-08-01","ids":{"openalex":"https://openalex.org/W2139453496","doi":"https://doi.org/10.1109/ijcnn.2007.4371058","mag":"2139453496"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2007.4371058","doi":"https://doi.org/10.1109/ijcnn.2007.4371058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371058","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5103763865","display_name":"Mario I. M. Chacon","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mario I. M. Chacon","raw_affiliation_strings":["DSP & Vision Laboratory, Chihuahua Institute of Technology, Mexico, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DSP & Vision Laboratory, Chihuahua Institute of Technology, Mexico, Mexico","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051988991","display_name":"Juan I. Nevarez-Santana","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juan I. S. Nevarez","raw_affiliation_strings":["DSP & Vision Laboratory, Chihuahua Institute of Technology, Mexico, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DSP & Vision Laboratory, Chihuahua Institute of Technology, Mexico, Mexico","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058658909","display_name":"Jos\u00e9 Rivera-Mejia","orcid":"https://orcid.org/0000-0001-8574-9376","observed_orcids":["https://orcid.org/0000-0001-8574-9376"]},"institutions":[{"id":"https://openalex.org/I157492648","display_name":"Autonomous University of Queretaro","ror":"https://ror.org/00v8fdc16","country_code":"MX","type":"education","lineage":["https://openalex.org/I157492648"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Jose M. Rivera","raw_affiliation_strings":["DSP & Vision Laboratory, Chihuahua Institute of Technology, Mexico","Universidad Autonoma de Queretaro"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DSP & Vision Laboratory, Chihuahua Institute of Technology, Mexico","institution_ids":[]},{"raw_affiliation_string":"Universidad Autonoma de Queretaro","institution_ids":["https://openalex.org/I157492648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0112,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76031537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"789","last_page":"794"},"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":0.9980000257492065,"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":0.9980000257492065,"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/T10320","display_name":"Neural Networks and Applications","score":0.0010999999940395355,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.0003000000142492354,"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/ophthalmic-lenses","display_name":"ophthalmic lenses","score":0.9629999995231628},{"id":"https://openalex.org/keywords/cosmetic-defects","display_name":"cosmetic defects","score":0.9070000052452087},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.8040000200271606},{"id":"https://openalex.org/keywords/self-organizing-maps","display_name":"self-organizing maps","score":0.9819999933242798},{"id":"https://openalex.org/keywords/feedforward-neural-networks","display_name":"feedforward neural networks","score":0.8629999756813049},{"id":"https://openalex.org/keywords/defect-detection","display_name":"defect detection","score":0.48500001430511475}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7374390959739685},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.7271862626075745},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.6326758861541748},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6218829154968262},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5924466848373413},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5738029479980469},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5264186263084412},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.45277243852615356},{"id":"https://openalex.org/C2781427961","wikidata":"https://www.wikidata.org/wiki/Q430024","display_name":"Human eye","level":2,"score":0.4161189794540405},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3911690413951874},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2718227207660675},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.22504517436027527},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07937207818031311},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2007.4371058","doi":"https://doi.org/10.1109/ijcnn.2007.4371058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371058","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1575550427","https://openalex.org/W1809767864","https://openalex.org/W1938840938","https://openalex.org/W2046017601","https://openalex.org/W2079498761","https://openalex.org/W2087041021","https://openalex.org/W2091530225","https://openalex.org/W2119348265","https://openalex.org/W2119462282","https://openalex.org/W2147809341","https://openalex.org/W2159498975","https://openalex.org/W2162841493","https://openalex.org/W2186120417","https://openalex.org/W3011685483","https://openalex.org/W3032975155","https://openalex.org/W3217380390","https://openalex.org/W4244003036","https://openalex.org/W6637300313","https://openalex.org/W7027716524"],"related_works":["https://openalex.org/W1575550427","https://openalex.org/W3036942541","https://openalex.org/W2502182611","https://openalex.org/W3017558734","https://openalex.org/W2171539429","https://openalex.org/W2537660733","https://openalex.org/W1989200895","https://openalex.org/W2143397762","https://openalex.org/W2072592987","https://openalex.org/W1839861717"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2,68,100,126],"concerned":[3],"with":[4,70],"the":[5,43,81,104,123],"design":[6],"of":[7,48,65,80,91,96,106,129],"a":[8,107,112,116,136],"classification":[9],"system":[10],"based":[11],"on":[12],"artificial":[13,74],"neural":[14,75,98],"networks":[15,76,85,99],"to":[16,33,58,87,135,145],"distinguish":[17],"between":[18,118],"natural":[19],"and":[20,37,51,72,83,120],"non-natural":[21,38],"cosmetic":[22,29],"defects":[23,30,39,67],"found":[24],"in":[25,56,131],"ophthalmic":[26],"lenses.":[27],"Natural":[28],"are":[31,40,54],"related":[32],"small":[34],"cotton":[35],"fabrics,":[36],"formed":[41],"during":[42],"fabrication":[44],"process.":[45],"A":[46],"set":[47],"geometric,":[49],"morphology":[50],"topologic":[52],"features":[53],"defined":[55],"order":[57],"represent":[59],"these":[60,97],"defects.":[61],"The":[62,78,94],"recognition":[63],"problem":[64],"theses":[66],"faced":[69],"feedforward":[71,82],"SOM":[73,84],"paradigms.":[77],"performance":[79,95,105,117],"turned":[86],"be":[88],"similar,":[89],"92.35%":[90],"correct":[92],"classification.":[93],"acceptable":[101],"compared":[102],"against":[103],"human":[108,113,137],"inspector":[109,114,138],"considering":[110],"that":[111,139],"reaches":[115],"85%":[119],"90%.":[121],"Besides,":[122],"ANN":[124],"approach":[125],"completely":[127],"free":[128],"changes":[130],"its":[132],"decision,":[133],"contrary":[134],"can":[140],"change":[141],"his/her":[142],"mind":[143],"due":[144],"subjective":[146],"influences.":[147]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}
