{"id":"https://openalex.org/W4320062938","doi":"https://doi.org/10.1145/3571513.3571519","title":"Screw surface defect detection system based on improved template matching algorithm","display_name":"Screw surface defect detection system based on improved template matching algorithm","publication_year":2022,"publication_date":"2022-10-21","ids":{"openalex":"https://openalex.org/W4320062938","doi":"https://doi.org/10.1145/3571513.3571519"},"language":"en","primary_location":{"id":"doi:10.1145/3571513.3571519","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3571513.3571519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 11th International Conference on Software and Information Engineering","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/A5036494812","display_name":"Qianchang Xu","orcid":"https://orcid.org/0000-0003-3394-449X"},"institutions":[{"id":"https://openalex.org/I4210162994","display_name":"Xijing University","ror":"https://ror.org/05xsjkb63","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162994"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qianchang Xu","raw_affiliation_strings":["Xijing University, China"],"affiliations":[{"raw_affiliation_string":"Xijing University, China","institution_ids":["https://openalex.org/I4210162994"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059021098","display_name":"Xuqi Wang","orcid":"https://orcid.org/0000-0002-5207-0604"},"institutions":[{"id":"https://openalex.org/I4210162994","display_name":"Xijing University","ror":"https://ror.org/05xsjkb63","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162994"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuqi Wang","raw_affiliation_strings":["Xijing University, China"],"affiliations":[{"raw_affiliation_string":"Xijing University, China","institution_ids":["https://openalex.org/I4210162994"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036494812"],"corresponding_institution_ids":["https://openalex.org/I4210162994"],"apc_list":null,"apc_paid":null,"fwci":0.4058,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69237523,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"30","last_page":"34"},"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":0.9973000288009644,"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":0.9973000288009644,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9919000267982483,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9853000044822693,"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/template-matching","display_name":"Template matching","score":0.7557730674743652},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.7261120080947876},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6916307806968689},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6518244743347168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6428319215774536},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6069865226745605},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5696728825569153},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.5042940378189087},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5011403560638428},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3796517252922058},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2892606854438782},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1801772117614746}],"concepts":[{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.7557730674743652},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.7261120080947876},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6916307806968689},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6518244743347168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6428319215774536},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6069865226745605},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5696728825569153},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.5042940378189087},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5011403560638428},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3796517252922058},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2892606854438782},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1801772117614746},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3571513.3571519","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3571513.3571519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 11th International Conference on Software and Information Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W3184096412"],"related_works":["https://openalex.org/W3169126738","https://openalex.org/W1994279415","https://openalex.org/W2558559991","https://openalex.org/W1986338341","https://openalex.org/W2545065926","https://openalex.org/W2980082320","https://openalex.org/W2036421992","https://openalex.org/W3093839383","https://openalex.org/W2128085731","https://openalex.org/W4293054829"],"abstract_inverted_index":{"A":[0],"screw":[1,19,32,60,66,82],"surface":[2,20,134],"defect":[3,21,67],"detection":[4,49,80,120],"system":[5,96,129],"based":[6],"on":[7],"improved":[8,41],"template":[9,42,54],"matching":[10,43],"algorithm":[11,44,68],"is":[12,27,37,45,50,62,73,84,108,130],"proposed":[13],"to":[14,29,52,69,110],"address":[15],"the":[16,24,31,35,40,53,58,65,78,93,115,119,128],"problems":[17],"of":[18,81,92,136],"detection.":[22],"Firstly,":[23],"industrial":[25,99],"camera":[26],"used":[28],"collect":[30],"image,":[33],"then":[34],"image":[36,61],"pre-processed,":[38],"and":[39,56,77,104,112],"proposed,":[46],"canny":[47],"edge":[48],"applied":[51],"matching,":[55],"finally":[57],"pre-processed":[59],"put":[63],"into":[64],"judge":[70],"whether":[71],"it":[72],"qualified":[74],"or":[75],"not,":[76],"automatic":[79],"defects":[83,135],"carried":[85],"out":[86],"in":[87],"real":[88],"time.":[89],"The":[90],"hardware":[91],"whole":[94],"inspection":[95],"includes":[97],"CCD":[98],"camera,":[100],"light":[101],"source":[102],"controller":[103],"host":[105],"computer,":[106],"which":[107],"easy":[109],"operate":[111],"stable.":[113],"In":[114],"actual":[116],"application":[117],"experiment,":[118],"accuracy":[121],"reaches":[122],"96.82%.":[123],"82%.":[124],"It":[125],"proves":[126],"that":[127],"practical":[131],"for":[132],"detecting":[133],"screws.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}