{"id":"https://openalex.org/W44112875","doi":"https://doi.org/10.5220/0001776301450152","title":"WELDING INSPECTION USING NOVEL SPECULARITY FEATURES AND A ONE-CLASS SVM","display_name":"WELDING INSPECTION USING NOVEL SPECULARITY FEATURES AND A ONE-CLASS SVM","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W44112875","doi":"https://doi.org/10.5220/0001776301450152","mag":"44112875"},"language":"en","primary_location":{"id":"doi:10.5220/0001776301450152","doi":"https://doi.org/10.5220/0001776301450152","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0001776301450152","pdf_url":null,"source":{"id":"https://openalex.org/S4306419275","display_name":"International Conference on Computer Vision Theory and Applications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.5220/0001776301450152","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043455894","display_name":"Fabian Timm","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fabian Timm","raw_affiliation_strings":["University of L\u00fcbeck, L\u00fcbeck, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of L\u00fcbeck, L\u00fcbeck, Germany","institution_ids":["https://openalex.org/I9341345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083722098","display_name":"Sascha Klement","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sascha Klement","raw_affiliation_strings":["University of L\u00fcbeck, L\u00fcbeck, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of L\u00fcbeck, L\u00fcbeck, Germany","institution_ids":["https://openalex.org/I9341345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021756032","display_name":"Erhardt Barth","orcid":"https://orcid.org/0000-0001-8556-2472","observed_orcids":["https://orcid.org/0000-0001-8556-2472"]},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Erhardt Barth","raw_affiliation_strings":["[University of L\u00fcbeck]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[University of L\u00fcbeck]","institution_ids":["https://openalex.org/I9341345"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014856404","display_name":"Thomas Martinetz","orcid":"https://orcid.org/0000-0002-4539-4475","observed_orcids":["https://orcid.org/0000-0002-4539-4475"]},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Martinetz","raw_affiliation_strings":["[University of L\u00fcbeck]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[University of L\u00fcbeck]","institution_ids":["https://openalex.org/I9341345"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9341345"],"apc_list":null,"apc_paid":null,"fwci":4.3062,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.92600749,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"145","last_page":"152"},"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":0.9984999895095825,"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":0.9984999895095825,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.0008999999845400453,"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"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/specular-reflection","display_name":"specular reflection","score":0.7490000128746033},{"id":"https://openalex.org/keywords/one-class-svm","display_name":"one-class support vector machine","score":0.9629999995231628},{"id":"https://openalex.org/keywords/automated-visual-inspection","display_name":"automated visual inspection","score":0.5950000286102295},{"id":"https://openalex.org/keywords/defect-detection","display_name":"defect detection","score":0.5600000023841858},{"id":"https://openalex.org/keywords/shape-features","display_name":"shape features","score":0.36500000953674316}],"concepts":[{"id":"https://openalex.org/C2779456664","wikidata":"https://www.wikidata.org/wiki/Q972162","display_name":"Specularity","level":3,"score":0.9913947582244873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.683957576751709},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6367844343185425},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6310993432998657},{"id":"https://openalex.org/C118381688","wikidata":"https://www.wikidata.org/wiki/Q1079524","display_name":"Specular reflection","level":2,"score":0.6109241247177124},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5522440075874329},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5271125435829163},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48356887698173523},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4766412675380707},{"id":"https://openalex.org/C2780154230","wikidata":"https://www.wikidata.org/wiki/Q513420","display_name":"Undo","level":2,"score":0.45515793561935425},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.45481714606285095},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4297915995121002},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4171246886253357},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08543616533279419},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0001776301450152","doi":"https://doi.org/10.5220/0001776301450152","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0001776301450152","pdf_url":null,"source":{"id":"https://openalex.org/S4306419275","display_name":"International Conference on Computer Vision Theory and Applications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.564.8878","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.564.8878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.inb.uni-luebeck.de/publikationen/pdfs/TiKlMaBa09.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.5220/0001776301450152","doi":"https://doi.org/10.5220/0001776301450152","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0001776301450152","pdf_url":null,"source":{"id":"https://openalex.org/S4306419275","display_name":"International Conference on Computer Vision Theory and Applications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1490309935","https://openalex.org/W1970088130","https://openalex.org/W1993516256","https://openalex.org/W2020457182","https://openalex.org/W2025115091","https://openalex.org/W2042538180","https://openalex.org/W2074022452","https://openalex.org/W2087347434","https://openalex.org/W2090218170","https://openalex.org/W2112081648","https://openalex.org/W2125387914","https://openalex.org/W2132870739","https://openalex.org/W2135346934","https://openalex.org/W2142442996","https://openalex.org/W2154357389","https://openalex.org/W2156909104","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W188943722","https://openalex.org/W2903730442","https://openalex.org/W3157232476","https://openalex.org/W2593332721","https://openalex.org/W2807667022","https://openalex.org/W3095679240","https://openalex.org/W2352049202","https://openalex.org/W2240742483","https://openalex.org/W3193691786","https://openalex.org/W2353244451"],"abstract_inverted_index":{"Abstract:":[0],"We":[1,65],"present":[2],"a":[3,18,38],"framework":[4],"for":[5],"automatic":[6],"inspection":[7],"of":[8,31,61,70,77],"welding":[9],"seams":[10],"based":[11],"on":[12],"specular":[13,32],"reflections.":[14,33],"Therefore,":[15],"we":[16,36],"introduce":[17],"novel":[19],"feature":[20],"set":[21],"\u2013":[22,27],"called":[23],"specularity":[24],"features":[25,48],"(SPECs)":[26],"describing":[28],"statistical":[29,46],"properties":[30],"For":[34],"classification":[35],"use":[37],"one-class":[39],"support-vector":[40],"approach.":[41],"The":[42],"SPECs":[43],"significantly":[44],"outperform":[45],"geometric":[47],"and":[49,59,63],"raw":[50],"pixel":[51],"intensities,":[52],"since":[53],"they":[54],"capture":[55],"more":[56],"complex":[57],"charac-teristics":[58],"depencies":[60],"shape":[62],"geometry.":[64],"obtain":[66],"an":[67],"error":[68],"rate":[69],"9%,":[71],"which":[72],"corresponds":[73],"to":[74],"the":[75],"level":[76],"human":[78],"performance.":[79],"1":[80]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2016-06-24T00:00:00"}
