{"id":"https://openalex.org/W4389276362","doi":"https://doi.org/10.1515/jisys-2022-0151","title":"Improved kernel density peaks clustering for plant image segmentation applications","display_name":"Improved kernel density peaks clustering for plant image segmentation applications","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389276362","doi":"https://doi.org/10.1515/jisys-2022-0151"},"language":"en","primary_location":{"id":"doi:10.1515/jisys-2022-0151","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2022-0151","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2022-0151/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2022-0151/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102587026","display_name":"Jiaze Bi","orcid":null},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaze Bi","raw_affiliation_strings":["School of Information and Computer, Anhui Agricultural University , Hefei , 230036 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Computer, Anhui Agricultural University , Hefei , 230036 , China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101274568","display_name":"Pingzhe Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pingzhe Zhang","raw_affiliation_strings":["School of Information and Computer, Anhui Agricultural University , Hefei , 230036 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Computer, Anhui Agricultural University , Hefei , 230036 , China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019838907","display_name":"Yujia Gao","orcid":"https://orcid.org/0000-0001-6090-3090"},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujia Gao","raw_affiliation_strings":["School of Information and Computer, Anhui Provincial Engineering Laboratory for Beidou Precision Agriculture Information, Anhui Agricultural University , Hefei , 230036 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Computer, Anhui Provincial Engineering Laboratory for Beidou Precision Agriculture Information, Anhui Agricultural University , Hefei , 230036 , China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074601800","display_name":"Menglong Dong","orcid":"https://orcid.org/0000-0002-3297-1819"},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Menglong Dong","raw_affiliation_strings":["School of Information and Computer, Anhui Agricultural University , Hefei , 230036 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Computer, Anhui Agricultural University , Hefei , 230036 , China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102509022","display_name":"Yongzhi Zhuang","orcid":null},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongzhi Zhuang","raw_affiliation_strings":["School of Information and Computer, Anhui Agricultural University , Hefei , 230036 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Computer, Anhui Agricultural University , Hefei , 230036 , China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050412589","display_name":"Ao Liu","orcid":"https://orcid.org/0000-0003-2232-1633"},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ao Liu","raw_affiliation_strings":["School of Information and Computer, Anhui Agricultural University , Hefei , 230036 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Computer, Anhui Agricultural University , Hefei , 230036 , China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101541045","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-6763-8146"},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Information and Computer, Anhui Agricultural University , Hefei , 230036 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Computer, Anhui Agricultural University , Hefei , 230036 , China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089044915","display_name":"Yiqiong Chen","orcid":"https://orcid.org/0000-0002-1418-6841"},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiqiong Chen","raw_affiliation_strings":["School of Information and Computer, Anhui Provincial Engineering Laboratory for Beidou Precision Agriculture Information, Anhui Agricultural University , Hefei , 230036 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Computer, Anhui Provincial Engineering Laboratory for Beidou Precision Agriculture Information, Anhui Agricultural University , Hefei , 230036 , China","institution_ids":["https://openalex.org/I140221134"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5089044915"],"corresponding_institution_ids":["https://openalex.org/I140221134"],"apc_list":{"value":1000,"currency":"EUR","value_usd":1078},"apc_paid":{"value":1000,"currency":"EUR","value_usd":1078},"fwci":0.2998,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74149872,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"32","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9693999886512756,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9678000211715698,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8330551385879517},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.7060158848762512},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6451413035392761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5965433120727539},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.537912905216217},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5004196166992188},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47646045684814453},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.46993738412857056},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4684111475944519},{"id":"https://openalex.org/keywords/k-medians-clustering","display_name":"k-medians clustering","score":0.4673372209072113},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.45427972078323364},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.44550856947898865},{"id":"https://openalex.org/keywords/mean-shift","display_name":"Mean-shift","score":0.4304355978965759},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.4242449700832367},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4184146821498871},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37331831455230713}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8330551385879517},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.7060158848762512},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6451413035392761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5965433120727539},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.537912905216217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5004196166992188},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47646045684814453},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.46993738412857056},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4684111475944519},{"id":"https://openalex.org/C115328559","wikidata":"https://www.wikidata.org/wiki/Q4041956","display_name":"k-medians clustering","level":5,"score":0.4673372209072113},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.45427972078323364},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.44550856947898865},{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.4304355978965759},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.4242449700832367},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4184146821498871},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37331831455230713},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1515/jisys-2022-0151","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2022-0151","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2022-0151/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1158a2aa693c40f4afc4819ddbb7ec02","is_oa":true,"landing_page_url":"https://doaj.org/article/1158a2aa693c40f4afc4819ddbb7ec02","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Intelligent Systems, Vol 32, Iss 1, Pp p. 401-413 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1515/jisys-2022-0151","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2022-0151","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2022-0151/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389276362.pdf"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1986007546","https://openalex.org/W1995450389","https://openalex.org/W2011430131","https://openalex.org/W2053817121","https://openalex.org/W2140405352","https://openalex.org/W2165835468","https://openalex.org/W2268194897","https://openalex.org/W2415890883","https://openalex.org/W2793947018","https://openalex.org/W3023646756","https://openalex.org/W3046083930","https://openalex.org/W3160529416","https://openalex.org/W3187346984","https://openalex.org/W3210055626"],"related_works":["https://openalex.org/W4301002638","https://openalex.org/W2606552659","https://openalex.org/W2393816671","https://openalex.org/W2111119584","https://openalex.org/W3186815950","https://openalex.org/W3088133960","https://openalex.org/W2376412895","https://openalex.org/W4292621762","https://openalex.org/W3028306937","https://openalex.org/W4390954627"],"abstract_inverted_index":{"Abstract":[0],"In":[1,47,79],"order":[2],"to":[3,29,42,70,77,81,90,98,102,125,141,145,179],"better":[4,159],"solve":[5],"the":[6,9,48,54,87,92,100,103,110,115,127,133,142,147,154],"shortcomings":[7],"of":[8,50,65],"k":[10],"-means":[11],"clustering":[12,17,38,160,174],"method":[13,19,28,39,156],"and":[14,36,45,94,131,168,176],"density":[15],"peaks":[16],"(DPC)":[18],"in":[20,32,53,114],"agricultural":[21],"image":[22,181],"segmentation,":[23],"this":[24,82,84],"work":[25],"proposes":[26],"a":[27,33,37,58,63,71,119,158],"divide":[30,43],"points":[31,52,66,113,134],"high-dimensional":[34,104,116],"space,":[35,105],"is":[40,60,74,123],"obtained":[41],"crops":[44],"soil.":[46],"process":[49],"assigning":[51],"DPC":[55],"method,":[56],"if":[57],"point":[59,122],"divided":[61],"incorrectly,":[62],"series":[64],"may":[67],"be":[68],"assigned":[69,140],"cluster":[72,144],"that":[73,135,153],"not":[75,137],"related":[76],"it.":[78],"response":[80],"problem,":[83],"study":[85],"uses":[86,95],"decision":[88],"graph":[89],"select":[91],"centroids,":[93],"Gaussian":[96],"kernel":[97],"map":[99],"data":[101],"each":[106],"centroid":[107],"searches":[108],"for":[109],"most":[111],"relevant":[112],"space":[117],"until":[118],"temporary":[120],"boundary":[121],"found":[124],"stop":[126],"first":[128],"assignment":[129],"strategy,":[130],"then":[132],"are":[136,139],"clustered":[138],"correct":[143],"complete":[146],"clustering.":[148],"The":[149],"experimental":[150],"results":[151],"show":[152],"proposed":[155],"has":[157],"effect":[161],"through":[162],"experiments":[163],"on":[164],"multiple":[165],"artificial":[166],"datasets":[167],"UCI":[169],"datasets,":[170],"compared":[171],"with":[172],"other":[173],"methods,":[175],"finally":[177],"applied":[178],"plant":[180],"segmentation.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
