{"id":"https://openalex.org/W3003158734","doi":"https://doi.org/10.1109/indin41052.2019.8972289","title":"A Robotic Passive Vision System for Texture Analysis in Weld Beads","display_name":"A Robotic Passive Vision System for Texture Analysis in Weld Beads","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W3003158734","doi":"https://doi.org/10.1109/indin41052.2019.8972289","mag":"3003158734"},"language":"en","primary_location":{"id":"doi:10.1109/indin41052.2019.8972289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin41052.2019.8972289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","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/A5068255080","display_name":"Luciane B. Soares","orcid":"https://orcid.org/0000-0002-9389-9865"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Luciane B. Soares","raw_affiliation_strings":["Science Computer Center, University of Rio Grande, Rio Grande, Brazil"],"affiliations":[{"raw_affiliation_string":"Science Computer Center, University of Rio Grande, Rio Grande, Brazil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026007046","display_name":"\u00c1tila A. Weis","orcid":null},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Atila A. Weis","raw_affiliation_strings":["Science Computer Center, University of Rio Grande, Rio Grande, Brazil"],"affiliations":[{"raw_affiliation_string":"Science Computer Center, University of Rio Grande, Rio Grande, Brazil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101966527","display_name":"Ricardo N. Rodrigues","orcid":"https://orcid.org/0000-0003-1282-793X"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ricardo N. Rodrigues","raw_affiliation_strings":["Science Computer Center, University of Rio Grande, Rio Grande, Brazil"],"affiliations":[{"raw_affiliation_string":"Science Computer Center, University of Rio Grande, Rio Grande, Brazil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029568844","display_name":"S\u00edlvia Silva da Costa Botelho","orcid":"https://orcid.org/0000-0002-8857-0221"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Silvia S. da C. Botelho","raw_affiliation_strings":["Science Computer Center, University of Rio Grande, Rio Grande, Brazil"],"affiliations":[{"raw_affiliation_string":"Science Computer Center, University of Rio Grande, Rio Grande, Brazil","institution_ids":["https://openalex.org/I126460647"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068255080"],"corresponding_institution_ids":["https://openalex.org/I126460647"],"apc_list":null,"apc_paid":null,"fwci":1.0877,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83130579,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"535","last_page":"540"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9990000128746033,"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/T11856","display_name":"Thermography and Photoacoustic Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/welding","display_name":"Welding","score":0.6873332858085632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6652187705039978},{"id":"https://openalex.org/keywords/robot-welding","display_name":"Robot welding","score":0.6583842039108276},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5870993137359619},{"id":"https://openalex.org/keywords/rework","display_name":"Rework","score":0.5771453380584717},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5699313879013062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5349205136299133},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.529208242893219},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.4820583760738373},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3212825655937195},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.20455503463745117}],"concepts":[{"id":"https://openalex.org/C19474535","wikidata":"https://www.wikidata.org/wiki/Q131172","display_name":"Welding","level":2,"score":0.6873332858085632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6652187705039978},{"id":"https://openalex.org/C118198166","wikidata":"https://www.wikidata.org/wiki/Q2327264","display_name":"Robot welding","level":3,"score":0.6583842039108276},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5870993137359619},{"id":"https://openalex.org/C2776543023","wikidata":"https://www.wikidata.org/wiki/Q2147046","display_name":"Rework","level":2,"score":0.5771453380584717},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5699313879013062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5349205136299133},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.529208242893219},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.4820583760738373},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3212825655937195},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.20455503463745117},{"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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin41052.2019.8972289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin41052.2019.8972289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","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":10,"referenced_works":["https://openalex.org/W96697480","https://openalex.org/W1607173503","https://openalex.org/W1974386595","https://openalex.org/W1981340889","https://openalex.org/W2059602074","https://openalex.org/W2132763323","https://openalex.org/W2139212933","https://openalex.org/W2269992014","https://openalex.org/W2295945403","https://openalex.org/W2804015004"],"related_works":["https://openalex.org/W2631231877","https://openalex.org/W2684211623","https://openalex.org/W4285161180","https://openalex.org/W2790593126","https://openalex.org/W2347684284","https://openalex.org/W2094521293","https://openalex.org/W1995058231","https://openalex.org/W2340266074","https://openalex.org/W2035347607","https://openalex.org/W4287883470"],"abstract_inverted_index":{"The":[0,17,47,197],"use":[1,18,92,200],"of":[2,13,19,25,50,65,73,127,132,178,188,201,228],"robots":[3,21],"is":[4,152,172],"increasing":[5],"in":[6,10,33,39,58,225],"different":[7],"industries,":[8],"as":[9,147,191],"the":[11,23,34,51,59,63,66,70,74,107,156,164,176,202,207,212,215,222,226,229],"case":[12],"large":[14],"metal":[15],"structures.":[16],"mobile":[20],"meets":[22],"needs":[24],"these":[26,88],"industries:":[27],"it":[28,182],"can":[29],"be":[30],"easily":[31],"moved":[32],"production":[35],"line,":[36],"with":[37,135,193],"gains":[38],"repeatability":[40],"and":[41,53,62,101,109,136,141,220],"process":[42],"efficiency,":[43],"reducing":[44],"rework":[45],"costs.":[46],"poor":[48],"configuration":[49],"robotic":[52],"welding":[54,223],"system":[55,118,198],"generates":[56],"problems":[57,82],"internal":[60],"structure":[61],"surface":[64],"weld,":[67],"thus":[68],"compromising":[69],"final":[71],"quality":[72],"piece.":[75],"Visual":[76],"inspections":[77],"are":[78,139],"common":[79],"to":[80,105,154,174,184,206],"identify":[81],"that":[83,91,159],"may":[84],"have":[85],"occurred":[86],"during":[87],"processes.":[89],"Inspections":[90],"x-rays,":[93],"ultrasound,":[94],"or":[95,194],"thermal":[96],"cameras":[97],"require":[98],"additional":[99,218],"equipment":[100],"highly":[102],"trained":[103],"inspectors":[104],"analyze":[106],"results":[108],"detect":[110],"problems.":[111],"This":[112],"work":[113],"presents":[114],"a":[115,121,142],"computer":[116],"vision":[117],"based":[119],"on":[120],"passive":[122],"monocular":[123],"camera":[124,204],"for":[125,210,217],"analysis":[126],"weld":[128,133,189],"bead":[129],"textures.":[130],"Images":[131],"beads":[134,190],"without":[137,195,214],"discontinuities":[138],"captured":[140],"dimensional":[143],"reduction":[144],"algorithm":[145],"known":[146],"Principal":[148],"Component":[149],"Analysis":[150],"(PCA)":[151],"applied":[153,173],"select":[155],"main":[157],"characteristics":[158],"describe":[160],"each":[161],"group.":[162],"Afterward,":[163],"Support":[165],"Vector":[166],"Machine":[167],"(SVM)":[168],"supervised":[169],"learning":[170],"method":[171],"recognize":[175],"patterns":[177],"image":[179],"groups,":[180],"making":[181],"possible":[183],"classify":[185],"new":[186],"images":[187],"welds":[192],"discontinuities.":[196],"makes":[199],"same":[203],"coupled":[205],"robot":[208],"responsible":[209],"conducting":[211],"welding,":[213],"need":[216],"sensors,":[219],"assists":[221],"inspector":[224],"evaluation":[227],"performed":[230],"process.":[231]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}