{"id":"https://openalex.org/W2369596334","doi":null,"title":"Post processing technique for correlation results based on Fourier-polar transformation","display_name":"Post processing technique for correlation results based on Fourier-polar transformation","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2369596334","mag":"2369596334"},"language":"en","primary_location":{"id":"mag:2369596334","doi":null,"is_oa":false,"landing_page_url":"https://en.cnki.com.cn/Article_en/CJFDTOTAL-YYGX201006016.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764877685","display_name":"Journal of Applied Optics","issn_l":"1002-2082","issn":["1002-2082"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20","russia-white-list-4"],"host_organization":"https://openalex.org/P4323862650","host_organization_name":"ying yong guang xue bian ji bu","host_organization_lineage":["https://openalex.org/P4323862650"],"host_organization_lineage_names":["ying yong guang xue bian ji bu"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Applied Optics","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5100677200","display_name":"Wenshen Hua","orcid":"https://orcid.org/0000-0003-0875-2111","observed_orcids":["https://orcid.org/0000-0003-0875-2111"]},"institutions":[{"id":"https://openalex.org/I4210122191","display_name":"Ordnance Engineering College","ror":"https://ror.org/02mn08y26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122191"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenshen Hua","raw_affiliation_strings":["Department of Optics and Electronic Engineering,Ordnance Engineering College,Shijiazhuang 050003,China)"],"raw_orcid":"https://orcid.org/0000-0003-0875-2111","affiliations":[{"raw_affiliation_string":"Department of Optics and Electronic Engineering,Ordnance Engineering College,Shijiazhuang 050003,China)","institution_ids":["https://openalex.org/I4210122191"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100677200"],"corresponding_institution_ids":["https://openalex.org/I4210122191"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.32913566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.478300005197525,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.478300005197525,"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/T11897","display_name":"Digital Holography and Microscopy","score":0.05429999902844429,"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":0.03750000149011612,"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/translation-invariance","display_name":"translation invariance","score":0.824999988079071},{"id":"https://openalex.org/keywords/rotation-invariance","display_name":"rotation invariance","score":0.7440000176429749}],"concepts":[{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.7056186199188232},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6530996561050415},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6147929430007935},{"id":"https://openalex.org/C16038011","wikidata":"https://www.wikidata.org/wiki/Q62912","display_name":"Cartesian coordinate system","level":2,"score":0.596238911151886},{"id":"https://openalex.org/C40069579","wikidata":"https://www.wikidata.org/wiki/Q62494","display_name":"Polar coordinate system","level":2,"score":0.5901406407356262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5662895441055298},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5507932901382446},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5433642864227295},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.5321542024612427},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4775567650794983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4682862460613251},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.4593387842178345},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4448356032371521},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4250168800354004},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.42140743136405945},{"id":"https://openalex.org/C29705727","wikidata":"https://www.wikidata.org/wiki/Q294562","display_name":"Polar","level":2,"score":0.4193270206451416},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4036329686641693},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3923502564430237},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27388930320739746},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2033362090587616},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1746816635131836},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10757672786712646},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09521931409835815},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2369596334","doi":null,"is_oa":false,"landing_page_url":"https://en.cnki.com.cn/Article_en/CJFDTOTAL-YYGX201006016.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764877685","display_name":"Journal of Applied Optics","issn_l":"1002-2082","issn":["1002-2082"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20","russia-white-list-4"],"host_organization":"https://openalex.org/P4323862650","host_organization_name":"ying yong guang xue bian ji bu","host_organization_lineage":["https://openalex.org/P4323862650"],"host_organization_lineage_names":["ying yong guang xue bian ji bu"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Applied Optics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1980093601","https://openalex.org/W2369594133","https://openalex.org/W2885018656","https://openalex.org/W2090287469","https://openalex.org/W2005560598","https://openalex.org/W2371978673","https://openalex.org/W2370904067","https://openalex.org/W2987592867","https://openalex.org/W3003190963","https://openalex.org/W2046738637"],"abstract_inverted_index":{"In":[0],"optical":[1,140],"correlation":[2,6,29,47,80,141],"recognition,the":[3],"post-processing":[4,77],"of":[5,11,19,43,46,60,74,79,98,114],"output":[7,30],"results":[8,31,81,89],"is":[9,24,35,86,104],"one":[10],"the":[12,17,55,62,70,92,95,108,111,118,129],"key":[13],"steps":[14],"to":[15,27,39,107,145],"ensure":[16],"correctness":[18],"image":[20],"recognizing.Neural":[21],"network":[22],"technique":[23],"usually":[25],"used":[26],"post-process":[28],"and":[32,49,69,100,116,126],"good":[33],"result":[34],"obtained,however,this":[36],"method":[37,78,120],"needs":[38],"prepare":[40],"a":[41],"lot":[42],"training":[44,137],"samples":[45],"peaks":[48,51],"noise":[50],"in":[52,64],"advance.Based":[53],"on":[54,83],"polar":[56],"coordinates":[57],"transformation's":[58],"capability":[59],"transforming":[61],"rotation":[63],"Cartesian":[65],"coordinate":[66],"into":[67],"translation":[68,71],"invariant":[72],"property":[73],"Fourier":[75],"transformation,a":[76],"based":[82],"Fourier-polar":[84,96,112],"transformation":[85],"proposed.The":[87],"verification":[88],"indicate":[90],"that":[91],"similarity":[93,109],"between":[94,110,124],"transformations":[97,113],"target":[99,115],"its":[101],"rotated":[102],"images":[103],"greater":[105],"compared":[106],"disturbances.So":[117],"proposed":[119],"can":[121,134],"effectively":[122],"distinguish":[123],"targets":[125],"disturbances":[127],"at":[128],"post":[130],"processing":[131],"stage,and":[132],"it":[133],"avoid":[135],"collecting":[136],"samples,which":[138],"makes":[139],"recognition":[142],"system":[143],"convenient":[144],"be":[146],"applied.":[147]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2016-06-24T00:00:00"}