{"id":"https://openalex.org/W2887826853","doi":"https://doi.org/10.1186/s13640-018-0309-3","title":"Image segmentation based on adaptive K-means algorithm","display_name":"Image segmentation based on adaptive K-means algorithm","publication_year":2018,"publication_date":"2018-08-03","ids":{"openalex":"https://openalex.org/W2887826853","doi":"https://doi.org/10.1186/s13640-018-0309-3","mag":"2887826853"},"language":"en","primary_location":{"id":"doi:10.1186/s13640-018-0309-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-018-0309-3","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0309-3","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0309-3","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100706323","display_name":"Xin Zheng","orcid":"https://orcid.org/0000-0001-7585-4156"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zheng","raw_affiliation_strings":["Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050399150","display_name":"Qinyi Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinyi Lei","raw_affiliation_strings":["Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083027184","display_name":"Run Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Run Yao","raw_affiliation_strings":["Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016518361","display_name":"Yifei Gong","orcid":"https://orcid.org/0000-0002-4844-5733"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifei Gong","raw_affiliation_strings":["Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081412949","display_name":"Qian Yin","orcid":"https://orcid.org/0000-0002-0354-5490"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Yin","raw_affiliation_strings":["Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5081412949"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":7.6992,"has_fulltext":true,"cited_by_count":204,"citation_normalized_percentile":{"value":0.98008071,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"2018","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9988999962806702,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9988999962806702,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9961000084877014,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9939000010490417,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7399053573608398},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6747764348983765},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6503759622573853},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6350626349449158},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6181591153144836},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5947818160057068},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5888660550117493},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5527662634849548},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.548130989074707},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.48975586891174316},{"id":"https://openalex.org/keywords/minimum-spanning-tree-based-segmentation","display_name":"Minimum spanning tree-based segmentation","score":0.45465847849845886},{"id":"https://openalex.org/keywords/range-segmentation","display_name":"Range segmentation","score":0.451755166053772},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4492291212081909},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41386646032333374}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7399053573608398},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6747764348983765},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6503759622573853},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6350626349449158},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6181591153144836},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5947818160057068},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5888660550117493},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5527662634849548},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.548130989074707},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.48975586891174316},{"id":"https://openalex.org/C42314347","wikidata":"https://www.wikidata.org/wiki/Q6865488","display_name":"Minimum spanning tree-based segmentation","level":5,"score":0.45465847849845886},{"id":"https://openalex.org/C67561299","wikidata":"https://www.wikidata.org/wiki/Q7292710","display_name":"Range segmentation","level":5,"score":0.451755166053772},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4492291212081909},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41386646032333374}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13640-018-0309-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-018-0309-3","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0309-3","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:444d61f3629042ee8b3efc60dd9389f6","is_oa":true,"landing_page_url":"https://doaj.org/article/444d61f3629042ee8b3efc60dd9389f6","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":"EURASIP Journal on Image and Video Processing, Vol 2018, Iss 1, Pp 1-10 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13640-018-0309-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-018-0309-3","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0309-3","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6707970126","display_name":"\u4e8c\u7ef4\u591a\u5149\u7ea4\u5149\u8c31\u56fe\u50cf\u5904\u7406\u6280\u672f\u7814\u7a76","funder_award_id":"61472043","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2887826853.pdf","grobid_xml":"https://content.openalex.org/works/W2887826853.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W1993236041","https://openalex.org/W1993267702","https://openalex.org/W2118331541","https://openalex.org/W2123402141","https://openalex.org/W2136044822","https://openalex.org/W2139478903","https://openalex.org/W2145023731","https://openalex.org/W2334297625","https://openalex.org/W2462044331","https://openalex.org/W2612166593","https://openalex.org/W2756322291","https://openalex.org/W4237561838"],"related_works":["https://openalex.org/W3196005494","https://openalex.org/W2183434644","https://openalex.org/W2204605857","https://openalex.org/W2386159816","https://openalex.org/W2475537384","https://openalex.org/W2344590996","https://openalex.org/W2162746041","https://openalex.org/W4238127125","https://openalex.org/W2115198604","https://openalex.org/W2093085045"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,21,26,113],"is":[2,58,91,126],"an":[3,16],"important":[4],"preprocessing":[5],"operation":[6,30],"in":[7,64,123],"image":[8,20,73,96],"recognition":[9],"and":[10,31,82,105,133],"computer":[11],"vision.":[12],"This":[13,39],"paper":[14,125],"proposes":[15],"adaptive":[17],"K":[18,37,80],"-means":[19],"method,":[22],"which":[23],"generates":[24],"accurate":[25,132],"results":[27,114],"with":[28,107],"simple":[29,129],"avoids":[32],"the":[33,42,53,68,76,83,95,108,111,120],"interactive":[34],"input":[35],"of":[36,45,55,70,85],"value.":[38],"method":[40,121],"transforms":[41],"color":[43,49],"space":[44,50],"images":[46],"into":[47],"LAB":[48],"firstly.":[51],"And":[52],"value":[54],"luminance":[56],"components":[57],"set":[59],"to":[60,66,93],"a":[61],"particular":[62],"value,":[63],"order":[65],"reduce":[67],"effect":[69],"light":[71],"on":[72],"segmentation.":[74],"Then,":[75],"equivalent":[77],"relation":[78],"between":[79],"values":[81],"number":[84],"connected":[86,102],"domains":[87],"after":[88],"setting":[89],"threshold":[90],"used":[92],"segment":[94],"adaptively.":[97],"After":[98],"morphological":[99],"processing,":[100],"maximum":[101],"domain":[103],"extraction":[104],"matching":[106],"original":[109],"image,":[110],"final":[112],"are":[115],"obtained.":[116],"Experiments":[117],"proof":[118],"that":[119],"proposed":[122],"this":[124],"not":[127],"only":[128],"but":[130],"also":[131],"effective.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":42},{"year":2022,"cited_by_count":41},{"year":2021,"cited_by_count":34},{"year":2020,"cited_by_count":26},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T08:27:34.040176","created_date":"2025-10-10T00:00:00"}