{"id":"https://openalex.org/W1972945063","doi":"https://doi.org/10.1109/icassp.2013.6638086","title":"Inspection of specular surfaces using optimized M-channel wavelets","display_name":"Inspection of specular surfaces using optimized M-channel wavelets","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W1972945063","doi":"https://doi.org/10.1109/icassp.2013.6638086","mag":"1972945063"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6638086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5024526818","display_name":"Tan-Toan Le","orcid":null},"institutions":[{"id":"https://openalex.org/I27469343","display_name":"Pforzheim University of Applied Sciences","ror":"https://ror.org/00qakfc35","country_code":"DE","type":"education","lineage":["https://openalex.org/I27469343"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Tan-Toan Le","raw_affiliation_strings":["Pforzheim University, Institute for Applied Research, Tiefenbronnerstr. 65, 75175, Germany"],"affiliations":[{"raw_affiliation_string":"Pforzheim University, Institute for Applied Research, Tiefenbronnerstr. 65, 75175, Germany","institution_ids":["https://openalex.org/I27469343"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082657954","display_name":"Mathias Ziebarth","orcid":"https://orcid.org/0000-0001-5678-1262"},"institutions":[{"id":"https://openalex.org/I27469343","display_name":"Pforzheim University of Applied Sciences","ror":"https://ror.org/00qakfc35","country_code":"DE","type":"education","lineage":["https://openalex.org/I27469343"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mathias Ziebarth","raw_affiliation_strings":["Pforzheim University, Institute for Applied Research, Tiefenbronnerstr. 65, 75175, Germany"],"affiliations":[{"raw_affiliation_string":"Pforzheim University, Institute for Applied Research, Tiefenbronnerstr. 65, 75175, Germany","institution_ids":["https://openalex.org/I27469343"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041204950","display_name":"Thomas Greiner","orcid":"https://orcid.org/0000-0001-6202-3345"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Greiner","raw_affiliation_strings":["Karlsruhe Institute of Technology, Institute for Anthropomatics, Adenauerring 4, 76131, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Institute for Anthropomatics, Adenauerring 4, 76131, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065874009","display_name":"Michael Heizmann","orcid":"https://orcid.org/0000-0001-9339-2055"},"institutions":[{"id":"https://openalex.org/I4210111500","display_name":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation","ror":"https://ror.org/01zx97922","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210111500","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Heizmann","raw_affiliation_strings":["Fraunhofer IOSB, Fraunhoferstr. 1, 76131 Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IOSB, Fraunhoferstr. 1, 76131 Karlsruhe, Germany","institution_ids":["https://openalex.org/I4210111500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024526818"],"corresponding_institution_ids":["https://openalex.org/I27469343"],"apc_list":null,"apc_paid":null,"fwci":2.0687,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8694516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"16","issue":null,"first_page":"2405","last_page":"2409"},"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/T11666","display_name":"Color Science and Applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9977999925613403,"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/specular-reflection","display_name":"Specular reflection","score":0.8747082948684692},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.7917752861976624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6561908721923828},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6443607807159424},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6086676716804504},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.6068903207778931},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.584892988204956},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5549917817115784},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48294514417648315},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4699649512767792},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.415722131729126},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.4114794135093689},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25949105620384216},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25711899995803833},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12080013751983643},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08107167482376099}],"concepts":[{"id":"https://openalex.org/C118381688","wikidata":"https://www.wikidata.org/wiki/Q1079524","display_name":"Specular reflection","level":2,"score":0.8747082948684692},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7917752861976624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6561908721923828},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6443607807159424},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6086676716804504},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.6068903207778931},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.584892988204956},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5549917817115784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48294514417648315},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4699649512767792},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.415722131729126},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.4114794135093689},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25949105620384216},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25711899995803833},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12080013751983643},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08107167482376099},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2013.6638086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/382776","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/382776","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1610060839","https://openalex.org/W1965789929","https://openalex.org/W1966847285","https://openalex.org/W1967282395","https://openalex.org/W1998709053","https://openalex.org/W2044342579","https://openalex.org/W2054209169","https://openalex.org/W2066458069","https://openalex.org/W2069466915","https://openalex.org/W2072595795","https://openalex.org/W2074040198","https://openalex.org/W2078087367","https://openalex.org/W2088325214","https://openalex.org/W2117188745","https://openalex.org/W2121638006","https://openalex.org/W2140159161","https://openalex.org/W2157430349","https://openalex.org/W2159883784","https://openalex.org/W2518680157","https://openalex.org/W2759283767","https://openalex.org/W3005363104","https://openalex.org/W6670036332"],"related_works":["https://openalex.org/W4389501116","https://openalex.org/W2559833131","https://openalex.org/W2730225583","https://openalex.org/W2175900582","https://openalex.org/W4388910335","https://openalex.org/W2033029047","https://openalex.org/W4353109604","https://openalex.org/W2123949214","https://openalex.org/W2738017471","https://openalex.org/W2317292335"],"abstract_inverted_index":{"Despite":[0],"its":[1],"age":[2],"the":[3,30,34,48,70,134],"inspection":[4],"of":[5,12,50,96],"specular":[6,57],"surfaces":[7,21,58],"is":[8,99,104,123],"still":[9],"a":[10,80,112,119],"topic":[11],"ongoing":[13],"research.":[14],"While":[15],"sensory":[16],"approaches":[17],"to":[18,68,93,110,125],"inspect":[19],"such":[20],"based":[22],"on":[23,56],"deflectometry":[24,74],"are":[25,41],"increasingly":[26],"used":[27],"in":[28,76,133],"practice,":[29],"evaluation":[31],"techniques":[32],"using":[33,60],"acquired":[35],"signals":[36,71],"(images":[37],"and":[38,64,130],"reconstruction":[39],"results)":[40],"often":[42],"not":[43],"sufficient.":[44],"This":[45],"work":[46],"addresses":[47],"challenge":[49],"detecting":[51],"defects":[52,127],"with":[53,90],"different":[54],"characteristics":[55],"by":[59,73],"robust":[61],"multiscale":[62],"detection":[63],"classification.":[65],"In":[66,117],"order":[67],"process":[69],"obtained":[72],"efficiently":[75],"all":[77],"relevant":[78],"scales,":[79],"method":[81],"for":[82,106],"generating":[83],"an":[84],"optimized":[85,105],"biorthogonal":[86],"wavelet":[87],"filter":[88,102],"bank":[89,103],"strong":[91],"correlation":[92],"any":[94],"number":[95],"anomaly":[97],"classes":[98],"proposed.":[100],"The":[101],"each":[107],"defect":[108],"class":[109],"obtain":[111],"sparse":[113],"scale":[114,135],"space":[115],"representation.":[116],"addition":[118],"Bayesian":[120],"classification":[121],"approach":[122],"presented":[124],"classify":[126],"like":[128],"dents":[129],"pimples":[131],"directly":[132],"space.":[136]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}