{"id":"https://openalex.org/W148047104","doi":"https://doi.org/10.1007/978-3-642-27278-3_67","title":"The Improved DBSCAN Algorithm Study on Maize Purity Identification","display_name":"The Improved DBSCAN Algorithm Study on Maize Purity Identification","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W148047104","doi":"https://doi.org/10.1007/978-3-642-27278-3_67","mag":"148047104"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-27278-3_67","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-27278-3_67","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-27278-3_67.pdf","source":{"id":"https://openalex.org/S4210175514","display_name":"IFIP International Federation for Information Processing/IFIP","issn_l":"1571-5736","issn":["1571-5736","1861-2288"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IFIP Advances in Information and Communication Technology","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-27278-3_67.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100429745","display_name":"Pan Wang","orcid":"https://orcid.org/0000-0001-6833-8559"},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pan Wang","raw_affiliation_strings":["College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an, China","SHANDONG AGRICULTURAL UNIVERSITY"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an, China","institution_ids":["https://openalex.org/I74485261"]},{"raw_affiliation_string":"SHANDONG AGRICULTURAL UNIVERSITY","institution_ids":["https://openalex.org/I74485261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101781956","display_name":"Shuangxi Liu","orcid":"https://orcid.org/0000-0002-4209-3933"},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangxi Liu","raw_affiliation_strings":["College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an, China","SHANDONG AGRICULTURAL UNIVERSITY"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an, China","institution_ids":["https://openalex.org/I74485261"]},{"raw_affiliation_string":"SHANDONG AGRICULTURAL UNIVERSITY","institution_ids":["https://openalex.org/I74485261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448079","display_name":"Mingming Liu","orcid":"https://orcid.org/0000-0002-8988-2104"},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingming Liu","raw_affiliation_strings":["College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an, China","SHANDONG AGRICULTURAL UNIVERSITY"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an, China","institution_ids":["https://openalex.org/I74485261"]},{"raw_affiliation_string":"SHANDONG AGRICULTURAL UNIVERSITY","institution_ids":["https://openalex.org/I74485261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030068448","display_name":"Qinxiang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinxiang Wang","raw_affiliation_strings":["College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an, China","SHANDONG AGRICULTURAL UNIVERSITY"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an, China","institution_ids":["https://openalex.org/I74485261"]},{"raw_affiliation_string":"SHANDONG AGRICULTURAL UNIVERSITY","institution_ids":["https://openalex.org/I74485261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668737","display_name":"Jinxing Wang","orcid":"https://orcid.org/0000-0003-3684-3344"},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxing Wang","raw_affiliation_strings":["College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an, China","SHANDONG AGRICULTURAL UNIVERSITY"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an, China","institution_ids":["https://openalex.org/I74485261"]},{"raw_affiliation_string":"SHANDONG AGRICULTURAL UNIVERSITY","institution_ids":["https://openalex.org/I74485261"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100731574","display_name":"Chunqing Zhang","orcid":"https://orcid.org/0000-0003-4854-312X"},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunqing Zhang","raw_affiliation_strings":["College of Agricultural, Shandong Agricultural University, Tai\u2019an, China","SHANDONG AGRICULTURAL UNIVERSITY"],"affiliations":[{"raw_affiliation_string":"College of Agricultural, Shandong Agricultural University, Tai\u2019an, China","institution_ids":["https://openalex.org/I74485261"]},{"raw_affiliation_string":"SHANDONG AGRICULTURAL UNIVERSITY","institution_ids":["https://openalex.org/I74485261"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100429745"],"corresponding_institution_ids":["https://openalex.org/I74485261"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.0432526,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"648","last_page":"656"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9718000292778015,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9718000292778015,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9650999903678894,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9592999815940857,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.8383930921554565},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6883814334869385},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5677257180213928},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5231683850288391},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.5210342407226562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4870014786720276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4848807752132416},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.478712797164917},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.4386412501335144},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42356395721435547},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4057297110557556},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.13179507851600647},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.10494181513786316},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.08483248949050903},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0628122091293335}],"concepts":[{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.8383930921554565},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6883814334869385},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5677257180213928},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5231683850288391},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.5210342407226562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4870014786720276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4848807752132416},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.478712797164917},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.4386412501335144},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42356395721435547},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4057297110557556},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.13179507851600647},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.10494181513786316},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.08483248949050903},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0628122091293335}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-642-27278-3_67","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-27278-3_67","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-27278-3_67.pdf","source":{"id":"https://openalex.org/S4210175514","display_name":"IFIP International Federation for Information Processing/IFIP","issn_l":"1571-5736","issn":["1571-5736","1861-2288"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IFIP Advances in Information and Communication Technology","raw_type":"book-chapter"},{"id":"pmh:oai:HAL:hal-01361052v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01361052","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. pp.648-656, ⟨10.1007/978-3-642-27278-3_67⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"doi:10.1007/978-3-642-27278-3_67","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-27278-3_67","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-27278-3_67.pdf","source":{"id":"https://openalex.org/S4210175514","display_name":"IFIP International Federation for Information Processing/IFIP","issn_l":"1571-5736","issn":["1571-5736","1861-2288"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IFIP Advances in Information and Communication Technology","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W148047104.pdf","grobid_xml":"https://content.openalex.org/works/W148047104.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1553693461","https://openalex.org/W1690438982","https://openalex.org/W1972104923","https://openalex.org/W1973264045","https://openalex.org/W1984422105","https://openalex.org/W1993214134","https://openalex.org/W2073785023","https://openalex.org/W2081206829","https://openalex.org/W2332890995","https://openalex.org/W2368834310","https://openalex.org/W2368880956","https://openalex.org/W2382896515","https://openalex.org/W2383513829","https://openalex.org/W2892081833","https://openalex.org/W3025955450","https://openalex.org/W4235168647"],"related_works":["https://openalex.org/W2136735429","https://openalex.org/W3176449234","https://openalex.org/W2807508722","https://openalex.org/W2353158678","https://openalex.org/W2767235736","https://openalex.org/W4225278791","https://openalex.org/W2045002201","https://openalex.org/W2971352445","https://openalex.org/W4322502698","https://openalex.org/W2604015980"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,46,81,115],"identify":[3],"maize":[4,25,47,69,131],"purity":[5,49,132],"rapidly":[6],"and":[7,13,18,27,64,78],"efficiently,":[8],"the":[9,24,30,37,54,61,83,116,120,128],"image":[10],"processing":[11],"technology":[12],"clustering":[14,104],"algorithm":[15,43],"were":[16,73,99,106],"studied":[17],"explored":[19],"in":[20,53,126],"depth":[21],"focused":[22],"on":[23,36],"seed":[26,31],"characteristics":[28],"of":[29,39,60,68,93,118,130],"images.":[32],"An":[33],"improved":[34],"DBSCAN":[35],"basis":[38],"farthest":[40],"first":[41],"traversal":[42],"(FFT)":[44],"adapting":[45],"seeds":[48],"identification":[50],"was":[51],"proposed":[52],"paper.":[55],"The":[56,90],"color":[57,66],"features":[58],"parameters":[59],"RGB,":[62],"HIS":[63],"Lab":[65],"models":[67],"crown":[70],"core":[71],"area":[72],"extracted,":[74],"while":[75],"H,":[76],"S":[77],"B":[79],"as":[80],"be":[82],"effective":[84],"characteristic":[85,96],"vector":[86,97],"after":[87,108],"data":[88],"analysis.":[89],"abnormal":[91],"points":[92,98],"different":[94],"density":[95,110],"separated":[100],"by":[101,112],"FFT.":[102],"Then":[103],"results":[105],"combined":[107],"local":[109],"cluster":[111],"DBSCAN.":[113],"According":[114],"result":[117],"test,":[119],"method":[121],"plays":[122],"a":[123],"great":[124],"role":[125],"improving":[127],"accuracy":[129],"identification.":[133]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}