{"id":"https://openalex.org/W3009951607","doi":"https://doi.org/10.1142/s0218126620502382","title":"Sub-Pixel Edge Detection Algorithm Based on Canny\u2013Zernike Moment Method","display_name":"Sub-Pixel Edge Detection Algorithm Based on Canny\u2013Zernike Moment Method","publication_year":2020,"publication_date":"2020-03-02","ids":{"openalex":"https://openalex.org/W3009951607","doi":"https://doi.org/10.1142/s0218126620502382","mag":"3009951607"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126620502382","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126620502382","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","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/A5103181291","display_name":"Cheng Huang","orcid":"https://orcid.org/0000-0003-4411-0917"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cheng Huang","raw_affiliation_strings":["School of Automation, Nanjing University of Science and Technology, Nanjing City, 210094, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Science and Technology, Nanjing City, 210094, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100695531","display_name":"Wei Jin","orcid":"https://orcid.org/0000-0002-6721-3460"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Jin","raw_affiliation_strings":["School of Automation, Nanjing University of Science and Technology, Nanjing City, 210094, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Science and Technology, Nanjing City, 210094, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071796366","display_name":"Qian Xu","orcid":"https://orcid.org/0000-0003-2570-4867"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Xu","raw_affiliation_strings":["School of Automation, Nanjing University of Science and Technology, Nanjing City, 210094, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Science and Technology, Nanjing City, 210094, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114860377","display_name":"Ziqi Liu","orcid":"https://orcid.org/0000-0002-4112-3504"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqi Liu","raw_affiliation_strings":["School of Automation, Nanjing University of Science and Technology, Nanjing City, 210094, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Science and Technology, Nanjing City, 210094, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100600729","display_name":"Zhiliang Xu","orcid":"https://orcid.org/0000-0002-4682-9442"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiliang Xu","raw_affiliation_strings":["School of Automation, Nanjing University of Science and Technology, Nanjing City, 210094, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Science and Technology, Nanjing City, 210094, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103181291"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":1.8674,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.87740177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"29","issue":"15","first_page":"2050238","last_page":"2050238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9998999834060669,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9973999857902527,"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/zernike-polynomials","display_name":"Zernike polynomials","score":0.9551621079444885},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.8208703994750977},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.603315532207489},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6001647710800171},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5982021689414978},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.5956496596336365},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5858903527259827},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5656654834747314},{"id":"https://openalex.org/keywords/deriche-edge-detector","display_name":"Deriche edge detector","score":0.5244296193122864},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5177685022354126},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.50380939245224},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.475197434425354},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.46013039350509644},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43312662839889526},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4096773862838745},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3210316598415375}],"concepts":[{"id":"https://openalex.org/C92423082","wikidata":"https://www.wikidata.org/wiki/Q132146","display_name":"Zernike polynomials","level":3,"score":0.9551621079444885},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.8208703994750977},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.603315532207489},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6001647710800171},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5982021689414978},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.5956496596336365},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5858903527259827},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5656654834747314},{"id":"https://openalex.org/C167074055","wikidata":"https://www.wikidata.org/wiki/Q5262565","display_name":"Deriche edge detector","level":5,"score":0.5244296193122864},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5177685022354126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.50380939245224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.475197434425354},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.46013039350509644},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43312662839889526},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4096773862838745},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3210316598415375},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165699331","wikidata":"https://www.wikidata.org/wiki/Q461533","display_name":"Wavefront","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126620502382","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126620502382","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2032865211","https://openalex.org/W2073709276","https://openalex.org/W2089060831","https://openalex.org/W2133059825","https://openalex.org/W2161143801","https://openalex.org/W2904718489","https://openalex.org/W2910414172","https://openalex.org/W4247442450"],"related_works":["https://openalex.org/W2545065926","https://openalex.org/W3093839383","https://openalex.org/W1994279415","https://openalex.org/W2015446345","https://openalex.org/W2980082320","https://openalex.org/W2056066761","https://openalex.org/W2185255929","https://openalex.org/W2150787373","https://openalex.org/W2374599874","https://openalex.org/W2355177902"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,54,70,87,120,138],"solve":[3],"the":[4,15,24,30,35,40,48,56,60,72,76,81,96,110,113,116,121,134,139],"problems":[5],"of":[6,23,59,91,98,112,125],"low":[7],"efficiency":[8],"and":[9,104],"long":[10],"running":[11,106],"time":[12],"caused":[13],"by":[14],"traditional":[16,140],"Zernike":[17,36,82],"moment":[18,37,83],"method":[19,67,84],"for":[20],"convolution":[21],"calculation":[22],"whole":[25],"image,":[26],"this":[27],"paper":[28],"combines":[29],"canny":[31,41],"detection":[32,43],"algorithm":[33,94,117,135,141],"with":[34,47],"method.":[38],"First,":[39],"edge":[42,58,74],"algorithm,":[44,115],"which":[45],"combined":[46],"Otsu":[49],"threshold":[50],"method,":[51],"is":[52,68,85,118,136],"used":[53,69],"extract":[55],"pixel":[57],"image.":[61,77],"Then":[62],"an":[63],"improved":[64],"Hough":[65],"transform":[66],"fit":[71],"geometric":[73],"in":[75,142],"Based":[78],"on":[79],"this,":[80],"applied":[86,119],"realize":[88],"sub-pixel":[89,100],"positioning":[90],"images.":[92],"The":[93,129],"improves":[95],"deficiencies":[97],"direct":[99],"detection,":[101],"improving":[102],"accuracy":[103],"reducing":[105],"time.":[107],"To":[108],"verify":[109],"effectiveness":[111],"proposed":[114],"dimension":[122],"measurement":[123],"experiment":[124],"T-type":[126],"guide":[127],"way.":[128],"results":[130],"clearly":[131],"show":[132],"that":[133],"superior":[137],"accuracy.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}