{"id":"https://openalex.org/W3108081868","doi":"https://doi.org/10.1109/cisp-bmei51763.2020.9263561","title":"A Novel Image Registration Method based on Pre-registration and SURF","display_name":"A Novel Image Registration Method based on Pre-registration and SURF","publication_year":2020,"publication_date":"2020-10-17","ids":{"openalex":"https://openalex.org/W3108081868","doi":"https://doi.org/10.1109/cisp-bmei51763.2020.9263561","mag":"3108081868"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei51763.2020.9263561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei51763.2020.9263561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5100609103","display_name":"Yongxing Jia","orcid":"https://orcid.org/0000-0001-8071-7375"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongxing Jia","raw_affiliation_strings":["PLA Army Engineering University,College of Communications Engineering,Nanjing,China","College of Communications Engineering, PLA Army Engineering University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"PLA Army Engineering University,College of Communications Engineering,Nanjing,China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"College of Communications Engineering, PLA Army Engineering University, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052624521","display_name":"Haichao Zhang","orcid":"https://orcid.org/0000-0001-9645-3255"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haichao Zhang","raw_affiliation_strings":["PLA Army Engineering University,College of Communications Engineering,Nanjing,China","College of Communications Engineering, PLA Army Engineering University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"PLA Army Engineering University,College of Communications Engineering,Nanjing,China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"College of Communications Engineering, PLA Army Engineering University, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112317429","display_name":"Chuanzhen Rong","orcid":"https://orcid.org/0009-0000-8941-1145"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanzhen Rong","raw_affiliation_strings":["PLA Army Engineering University,College of Communications Engineering,Nanjing,China","College of Communications Engineering, PLA Army Engineering University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"PLA Army Engineering University,College of Communications Engineering,Nanjing,China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"College of Communications Engineering, PLA Army Engineering University, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041988267","display_name":"Ying Zhu","orcid":"https://orcid.org/0000-0002-5708-3252"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Zhu","raw_affiliation_strings":["PLA Army Engineering University,College of Communications Engineering,Nanjing,China","College of Communications Engineering, PLA Army Engineering University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"PLA Army Engineering University,College of Communications Engineering,Nanjing,China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"College of Communications Engineering, PLA Army Engineering University, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103939289","display_name":"Yu Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Yang","raw_affiliation_strings":["PLA Army Engineering University,College of Communications Engineering,Nanjing,China","College of Communications Engineering, PLA Army Engineering University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"PLA Army Engineering University,College of Communications Engineering,Nanjing,China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"College of Communications Engineering, PLA Army Engineering University, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100609103"],"corresponding_institution_ids":["https://openalex.org/I4210163363"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.136301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"31","issue":null,"first_page":"360","last_page":"365"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.993399977684021,"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/feature","display_name":"Feature (linguistics)","score":0.758797287940979},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.7029521465301514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6869901418685913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6458204388618469},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5724809765815735},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.539519190788269},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5333749055862427},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4882640838623047},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4827508330345154},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45418065786361694},{"id":"https://openalex.org/keywords/point-set-registration","display_name":"Point set registration","score":0.4469515383243561},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.43037015199661255},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41215580701828003},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25222247838974},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06679192185401917},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06396317481994629}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.758797287940979},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.7029521465301514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6869901418685913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6458204388618469},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5724809765815735},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.539519190788269},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5333749055862427},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4882640838623047},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4827508330345154},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45418065786361694},{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.4469515383243561},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.43037015199661255},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41215580701828003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25222247838974},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06679192185401917},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06396317481994629},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei51763.2020.9263561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei51763.2020.9263561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W2030233188","https://openalex.org/W2117228865","https://openalex.org/W2119605622","https://openalex.org/W2141584146","https://openalex.org/W2147555557","https://openalex.org/W2151103935","https://openalex.org/W2170282673","https://openalex.org/W2292183144","https://openalex.org/W2334416197","https://openalex.org/W2765313833","https://openalex.org/W2802672634","https://openalex.org/W2997122735","https://openalex.org/W6637131181"],"related_works":["https://openalex.org/W2037143534","https://openalex.org/W2888631859","https://openalex.org/W2357811830","https://openalex.org/W2067230404","https://openalex.org/W3154360165","https://openalex.org/W2171028602","https://openalex.org/W2369594106","https://openalex.org/W3037197017","https://openalex.org/W2110013921","https://openalex.org/W4283722850"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposed":[2,14,123],"a":[3],"novel":[4],"image":[5,111],"registration":[6],"method":[7,16,124],"based":[8,17],"on":[9,18,57],"pre-registration":[10,15],"and":[11,37,128],"SURF.":[12],"The":[13],"clustering":[19,54],"FAST":[20,28,58],"feature":[21,29,44,59,64,93,103],"points":[22,30,45,60,80,94],"included":[23],"three":[24],"steps.":[25],"Firstly,":[26],"the":[27,32,43,48,52,63,68,75,78,82,86,89,92,102,122],"of":[31,42,77,88],"adjacent":[33],"images":[34],"were":[35],"detected":[36],"down-sampled":[38],"to":[39,61,74],"obtain":[40],"most":[41],"located":[46],"in":[47,67,81],"overlapping":[49],"part.":[50],"Then,":[51],"DBSCAN":[53],"was":[55,108],"performed":[56],"get":[62],"points'":[65,104],"clusters":[66],"largest":[69],"overlap":[70],"area.":[71],"Finally,":[72],"according":[73],"coordinates":[76],"boundary":[79],"cluster":[83],"point":[84],"set,":[85],"range":[87],"area":[90],"where":[91],"are":[95],"concentrated":[96,105],"can":[97],"be":[98],"obtained.":[99],"After":[100],"delineating":[101],"area,":[106],"SURF":[107],"used":[109],"for":[110],"registration.":[112],"Experimental":[113],"results":[114],"show":[115],"that,":[116],"compared":[117],"with":[118],"directly":[119],"using":[120],"SURF,":[121],"cost":[125],"less":[126],"time,":[127],"had":[129],"higher":[130],"correct":[131],"matching":[132],"rate.":[133]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
