{"id":"https://openalex.org/W2090421651","doi":"https://doi.org/10.1016/s0031-3203(00)00071-6","title":"Automatic surface inspection using wavelet reconstruction","display_name":"Automatic surface inspection using wavelet reconstruction","publication_year":2001,"publication_date":"2001-06-01","ids":{"openalex":"https://openalex.org/W2090421651","doi":"https://doi.org/10.1016/s0031-3203(00)00071-6","mag":"2090421651"},"language":"en","primary_location":{"id":"doi:10.1016/s0031-3203(00)00071-6","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0031-3203(00)00071-6","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","raw_type":"journal-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/A5033678008","display_name":"Du\u2010Ming Tsai","orcid":"https://orcid.org/0000-0001-8783-7994"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Du-Ming Tsai","raw_affiliation_strings":["Department of Industrial Engineering, Yuan-Ze University, 135 Yuan-Tung Road, Nei-Li, Tao-Yuan, Taiwan, ROC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Yuan-Ze University, 135 Yuan-Tung Road, Nei-Li, Tao-Yuan, Taiwan, ROC","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055221241","display_name":"Bo Hsiao","orcid":"https://orcid.org/0000-0002-2894-9678"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bo Hsiao","raw_affiliation_strings":["Department of Industrial Engineering, Yuan-Ze University, 135 Yuan-Tung Road, Nei-Li, Tao-Yuan, Taiwan, ROC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Yuan-Ze University, 135 Yuan-Tung Road, Nei-Li, Tao-Yuan, Taiwan, ROC","institution_ids":["https://openalex.org/I99908691"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033678008"],"corresponding_institution_ids":["https://openalex.org/I99908691"],"apc_list":{"value":2710,"currency":"USD","value_usd":2710},"apc_paid":null,"fwci":11.8526,"has_fulltext":false,"cited_by_count":147,"citation_normalized_percentile":{"value":0.98415362,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"34","issue":"6","first_page":"1285","last_page":"1305"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9979000091552734,"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/thresholding","display_name":"Thresholding","score":0.8458483219146729},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7782522439956665},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6983075141906738},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.634575605392456},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5319386124610901},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5094922184944153},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5010354518890381},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46630680561065674},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.42351555824279785},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40653958916664124},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35294803977012634}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.8458483219146729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7782522439956665},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6983075141906738},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.634575605392456},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5319386124610901},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5094922184944153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5010354518890381},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46630680561065674},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.42351555824279785},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40653958916664124},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35294803977012634}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/s0031-3203(00)00071-6","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0031-3203(00)00071-6","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.95.4866","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.95.4866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://machinevision.iem.yzu.edu.tw/english/tech/Automatic surface inspection using wavelet reconstruction.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W95615847","https://openalex.org/W615281210","https://openalex.org/W1512748702","https://openalex.org/W1546355124","https://openalex.org/W1587641199","https://openalex.org/W1602752785","https://openalex.org/W1839579409","https://openalex.org/W1895994892","https://openalex.org/W1970476456","https://openalex.org/W1980641156","https://openalex.org/W1982138571","https://openalex.org/W1985190666","https://openalex.org/W1986830331","https://openalex.org/W1996142782","https://openalex.org/W2004313226","https://openalex.org/W2013987111","https://openalex.org/W2017672812","https://openalex.org/W2021609979","https://openalex.org/W2044465660","https://openalex.org/W2048086813","https://openalex.org/W2048692323","https://openalex.org/W2054824951","https://openalex.org/W2062024414","https://openalex.org/W2066719570","https://openalex.org/W2068176870","https://openalex.org/W2077427910","https://openalex.org/W2096684483","https://openalex.org/W2098347925","https://openalex.org/W2098684142","https://openalex.org/W2098914003","https://openalex.org/W2100860054","https://openalex.org/W2101469064","https://openalex.org/W2107693148","https://openalex.org/W2121784479","https://openalex.org/W2126440645","https://openalex.org/W2132967849","https://openalex.org/W2132984323","https://openalex.org/W2133059825","https://openalex.org/W2136127238","https://openalex.org/W2137048067","https://openalex.org/W2137440839","https://openalex.org/W2148593155","https://openalex.org/W2164290945","https://openalex.org/W2168977926","https://openalex.org/W2169161117","https://openalex.org/W2170758136","https://openalex.org/W2911956715","https://openalex.org/W3005363104","https://openalex.org/W4255272544","https://openalex.org/W6603927619","https://openalex.org/W6639731695","https://openalex.org/W6669933017"],"related_works":["https://openalex.org/W2953058328","https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2750730210","https://openalex.org/W2116854923","https://openalex.org/W2236974868","https://openalex.org/W4312766348","https://openalex.org/W2730764323","https://openalex.org/W4233939244","https://openalex.org/W2077021924"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":9}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-10T00:00:00"}
