{"id":"https://openalex.org/W4307649476","doi":"https://doi.org/10.1007/s00034-022-02199-w","title":"A Feature Extraction Algorithm Based on Optimal Neighborhood Size","display_name":"A Feature Extraction Algorithm Based on Optimal Neighborhood Size","publication_year":2022,"publication_date":"2022-10-27","ids":{"openalex":"https://openalex.org/W4307649476","doi":"https://doi.org/10.1007/s00034-022-02199-w"},"language":"en","primary_location":{"id":"doi:10.1007/s00034-022-02199-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00034-022-02199-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00034-022-02199-w.pdf","source":{"id":"https://openalex.org/S20109229","display_name":"Circuits Systems and Signal Processing","issn_l":"0278-081X","issn":["0278-081X","1531-5878"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320186","host_organization_name":"Birkh\u00e4user","host_organization_lineage":["https://openalex.org/P4310320186","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Birkh\u00e4user","Springer Science+Business Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Circuits, Systems, and Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00034-022-02199-w.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012496531","display_name":"Caiqin Jia","orcid":"https://orcid.org/0000-0001-8601-2499"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Caiqin Jia","raw_affiliation_strings":["Shanxi Province\u2019s Vision Information Processing and Intelligent Robot Engineering Research Center, School of Computer Science and Technology, North University of China, Taiyuan, 030051, China"],"affiliations":[{"raw_affiliation_string":"Shanxi Province\u2019s Vision Information Processing and Intelligent Robot Engineering Research Center, School of Computer Science and Technology, North University of China, Taiyuan, 030051, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101460680","display_name":"Min Pang","orcid":"https://orcid.org/0009-0004-6453-3399"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Pang","raw_affiliation_strings":["Shanxi Province\u2019s Vision Information Processing and Intelligent Robot Engineering Research Center, School of Computer Science and Technology, North University of China, Taiyuan, 030051, China"],"affiliations":[{"raw_affiliation_string":"Shanxi Province\u2019s Vision Information Processing and Intelligent Robot Engineering Research Center, School of Computer Science and Technology, North University of China, Taiyuan, 030051, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100405589","display_name":"Han Xie","orcid":"https://orcid.org/0000-0002-2580-4297"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xie Han","raw_affiliation_strings":["Shanxi Province\u2019s Vision Information Processing and Intelligent Robot Engineering Research Center, School of Computer Science and Technology, North University of China, Taiyuan, 030051, China"],"affiliations":[{"raw_affiliation_string":"Shanxi Province\u2019s Vision Information Processing and Intelligent Robot Engineering Research Center, School of Computer Science and Technology, North University of China, Taiyuan, 030051, China","institution_ids":["https://openalex.org/I135714990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012496531"],"corresponding_institution_ids":["https://openalex.org/I135714990"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10077803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"42","issue":"4","first_page":"2193","last_page":"2214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9776999950408936,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9776999950408936,"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/T14155","display_name":"Advanced Technology in Applications","score":0.9337000250816345,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.911899983882904,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7203451991081238},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6756342053413391},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6476280689239502},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6351720690727234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5381041765213013},{"id":"https://openalex.org/keywords/feature-model","display_name":"Feature model","score":0.5378311276435852},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5340225696563721},{"id":"https://openalex.org/keywords/fragment","display_name":"Fragment (logic)","score":0.46603482961654663},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.416611909866333},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3489830791950226},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3299972414970398}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7203451991081238},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6756342053413391},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6476280689239502},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6351720690727234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5381041765213013},{"id":"https://openalex.org/C101814296","wikidata":"https://www.wikidata.org/wiki/Q5439685","display_name":"Feature model","level":3,"score":0.5378311276435852},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5340225696563721},{"id":"https://openalex.org/C2776235265","wikidata":"https://www.wikidata.org/wiki/Q18392052","display_name":"Fragment (logic)","level":2,"score":0.46603482961654663},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.416611909866333},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3489830791950226},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3299972414970398},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00034-022-02199-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00034-022-02199-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00034-022-02199-w.pdf","source":{"id":"https://openalex.org/S20109229","display_name":"Circuits Systems and Signal Processing","issn_l":"0278-081X","issn":["0278-081X","1531-5878"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320186","host_organization_name":"Birkh\u00e4user","host_organization_lineage":["https://openalex.org/P4310320186","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Birkh\u00e4user","Springer Science+Business Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Circuits, Systems, and Signal Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s00034-022-02199-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00034-022-02199-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00034-022-02199-w.pdf","source":{"id":"https://openalex.org/S20109229","display_name":"Circuits Systems and Signal Processing","issn_l":"0278-081X","issn":["0278-081X","1531-5878"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320186","host_organization_name":"Birkh\u00e4user","host_organization_lineage":["https://openalex.org/P4310320186","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Birkh\u00e4user","Springer Science+Business Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Circuits, Systems, and Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1674023265","display_name":null,"funder_award_id":"62106238","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3224371822","display_name":null,"funder_award_id":"2020-113","funder_id":"https://openalex.org/F4320321884","funder_display_name":"Shanxi Scholarship Council of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3537633596","display_name":null,"funder_award_id":"202104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5082107437","display_name":null,"funder_award_id":"21301055","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5119508239","display_name":null,"funder_award_id":"62203405","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7373847194","display_name":null,"funder_award_id":"2020-1","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321884","display_name":"Shanxi Scholarship Council of China","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4307649476.pdf","grobid_xml":"https://content.openalex.org/works/W4307649476.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1518614355","https://openalex.org/W1984306613","https://openalex.org/W2287257515","https://openalex.org/W2328262558","https://openalex.org/W2338382397","https://openalex.org/W2625290171","https://openalex.org/W2921362487","https://openalex.org/W2941211237","https://openalex.org/W2941430694","https://openalex.org/W3016535419","https://openalex.org/W3036726364","https://openalex.org/W3047510020","https://openalex.org/W3109991781","https://openalex.org/W3114297766","https://openalex.org/W3128252107","https://openalex.org/W3128751005","https://openalex.org/W3130011030","https://openalex.org/W3133658534","https://openalex.org/W3140564856","https://openalex.org/W3156681220","https://openalex.org/W3158327821","https://openalex.org/W3171093259","https://openalex.org/W3172269557","https://openalex.org/W3178303945","https://openalex.org/W3206918010","https://openalex.org/W3210701025","https://openalex.org/W4200209490","https://openalex.org/W4205206993","https://openalex.org/W4220665428","https://openalex.org/W4220759287","https://openalex.org/W4224069464","https://openalex.org/W4282934273","https://openalex.org/W4285116605","https://openalex.org/W4293347502","https://openalex.org/W4367666538"],"related_works":["https://openalex.org/W1973480752","https://openalex.org/W2805502594","https://openalex.org/W4253208712","https://openalex.org/W1603677234","https://openalex.org/W3132641048","https://openalex.org/W2217679042","https://openalex.org/W2525971763","https://openalex.org/W2984753899","https://openalex.org/W2783178962","https://openalex.org/W1896179566"],"abstract_inverted_index":{"Abstract":[0],"The":[1,118,155],"feature":[2,33,59,71,77,89,98,110,123,135,148,153,182],"extraction":[3,60],"of":[4,13,29,44,48,78,95,115,121,133,195],"a":[5,37,49,55,66,203],"point":[6,57,80],"cloud":[7,58,81],"fragment":[8,14,30,50,207],"model":[9,82],"is":[10,36],"the":[11,18,24,42,45,74,79,87,92,96,104,109,116,122,129,134,138,147,160,175,180,188,193],"basis":[12],"splicing,":[15,26],"which":[16],"provides":[17],"technical":[19],"support":[20],"for":[21,69,107,206],"research":[22],"on":[23,113],"segmentation,":[25],"and":[27,145,167,178,199],"restoration":[28],"surfaces.":[31],"High-quality":[32],"extraction,":[34],"however,":[35],"complicated":[38],"process":[39],"due":[40],"to":[41,64,85,102,128,143,150,202],"diversity":[43],"surface":[46],"information":[47,94],"model.":[51,117],"For":[52],"this":[53],"subject,":[54],"high-efficient":[56],"method":[61,68,162],"was":[62,83,100,125,141,163],"proposed":[63,126,161],"address":[65],"new":[67],"extracting":[70],"lines.":[72,154,183],"First,":[73],"projection":[75],"distance":[76],"calculated":[84],"identify":[86],"potential":[88],"points.":[90,136],"Furthermore,":[91],"local":[93],"possible":[97],"points":[99,111,124,149],"used":[101],"construct":[103,179],"adaptive":[105],"neighborhoods":[106,114],"identifying":[108],"based":[112],"clustering":[119],"fusion":[120],"according":[127],"discrimination":[130],"threshold":[131],"values":[132],"Finally,":[137],"Laplace":[139],"operator":[140],"utilized":[142],"refine":[144],"connect":[146],"form":[151],"smooth":[152],"experimental":[156],"results":[157,185],"showed":[158,186],"that":[159,171,187],"automatic,":[164],"highly":[165],"efficient,":[166],"with":[168,209],"good":[169],"adaptability":[170],"could":[172,191],"effectively":[173],"extract":[174,192],"detailed":[176],"features":[177,194],"complete":[181],"Moreover,":[184],"provided":[189],"framework":[190],"simple":[196],"structure":[197],"models":[198,208],"be":[200],"feasible":[201],"certain":[204],"extent":[205],"abundant":[210],"features.":[211]},"counts_by_year":[],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
