{"id":"https://openalex.org/W2579146961","doi":"https://doi.org/10.1109/tsmc.2016.2608831","title":"Bottom-Up Merging Segmentation for Color Images With Complex Areas","display_name":"Bottom-Up Merging Segmentation for Color Images With Complex Areas","publication_year":2017,"publication_date":"2017-01-18","ids":{"openalex":"https://openalex.org/W2579146961","doi":"https://doi.org/10.1109/tsmc.2016.2608831","mag":"2579146961"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2016.2608831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2016.2608831","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-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/A5087102984","display_name":"Haifeng Sima","orcid":"https://orcid.org/0000-0002-2049-3637"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haifeng Sima","raw_affiliation_strings":["Department of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020083340","display_name":"Ping Guo","orcid":"https://orcid.org/0000-0002-7122-1084"},"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":"Ping Guo","raw_affiliation_strings":["School of System Science, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of System Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003919104","display_name":"Youfeng Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youfeng Zou","raw_affiliation_strings":["Henan Polytechnic University, Jiaozuo, China"],"affiliations":[{"raw_affiliation_string":"Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100655744","display_name":"Zhiheng Wang","orcid":"https://orcid.org/0000-0002-3241-0720"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiheng Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081346568","display_name":"Mingliang Xu","orcid":"https://orcid.org/0000-0002-6885-3451"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingliang Xu","raw_affiliation_strings":["School of Information Engineering, Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087102984"],"corresponding_institution_ids":["https://openalex.org/I4210166499"],"apc_list":null,"apc_paid":null,"fwci":1.3653,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88402965,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"48","issue":"3","first_page":"354","last_page":"365"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9984999895095825,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980000257492065,"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":0.6331389546394348},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6170403957366943},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5774837136268616},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4909675419330597},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3590735197067261},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.33919525146484375}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6331389546394348},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6170403957366943},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5774837136268616},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4909675419330597},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3590735197067261},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.33919525146484375}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2016.2608831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2016.2608831","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1146706707","display_name":null,"funder_award_id":"61572173","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1522100992","display_name":null,"funder_award_id":"61602157","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1642958511","display_name":null,"funder_award_id":"B2016-37","funder_id":"https://openalex.org/F4320321954","funder_display_name":"Henan Polytechnic University"},{"id":"https://openalex.org/G8606731881","display_name":null,"funder_award_id":"61672469","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/F4320321954","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1509538840","https://openalex.org/W1538733018","https://openalex.org/W1938929646","https://openalex.org/W1959133305","https://openalex.org/W1973771202","https://openalex.org/W1977241131","https://openalex.org/W1979393293","https://openalex.org/W1987967950","https://openalex.org/W1999478155","https://openalex.org/W2002260165","https://openalex.org/W2006327073","https://openalex.org/W2010975286","https://openalex.org/W2027645416","https://openalex.org/W2033662863","https://openalex.org/W2039684198","https://openalex.org/W2064369665","https://openalex.org/W2067191022","https://openalex.org/W2082173281","https://openalex.org/W2104019579","https://openalex.org/W2104978358","https://openalex.org/W2107290706","https://openalex.org/W2108077184","https://openalex.org/W2115664739","https://openalex.org/W2118246710","https://openalex.org/W2119531662","https://openalex.org/W2121189958","https://openalex.org/W2121490093","https://openalex.org/W2121927366","https://openalex.org/W2121947440","https://openalex.org/W2127301647","https://openalex.org/W2137554146","https://openalex.org/W2141729166","https://openalex.org/W2150141984","https://openalex.org/W2151096925","https://openalex.org/W2151393448","https://openalex.org/W2152355237","https://openalex.org/W2152632881","https://openalex.org/W2155033583","https://openalex.org/W2159772167","https://openalex.org/W2163352848","https://openalex.org/W2167354555","https://openalex.org/W2171855237","https://openalex.org/W2231176939","https://openalex.org/W2278942571","https://openalex.org/W2331809639","https://openalex.org/W3151530552","https://openalex.org/W3211330693","https://openalex.org/W6632046078","https://openalex.org/W6640464587","https://openalex.org/W6640851036","https://openalex.org/W6653423199","https://openalex.org/W6681817508","https://openalex.org/W6682458457"],"related_works":["https://openalex.org/W2895616727","https://openalex.org/W2517104666","https://openalex.org/W1669643531","https://openalex.org/W2134924024","https://openalex.org/W2039154422","https://openalex.org/W2008656436","https://openalex.org/W2182382398","https://openalex.org/W2005437358","https://openalex.org/W2122581818","https://openalex.org/W2023558673"],"abstract_inverted_index":{"Most":[0],"color":[1,39,53,132],"images":[2,27],"obtained":[3],"from":[4,113,127],"the":[5,67,107,159,177,195,199],"real":[6],"world":[7],"usually":[8],"contain":[9],"complex":[10,38,57,204],"areas,":[11],"such":[12],"as":[13],"nature":[14],"scene":[15,58],"images,":[16,19,184],"remote":[17,182],"sensing":[18,183],"and":[20,35,40,85,133,149,185,206,213],"medical":[21,186],"images.":[22,187],"All":[23],"these":[24],"type":[25],"of":[26,52,66,101,161,190,198],"are":[28,174],"very":[29],"difficult":[30],"to":[31,55,124,144,168],"be":[32],"separated":[33],"accurately":[34],"automatically":[36],"for":[37,95],"structures":[41],"included.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46,119],"focus":[47],"on":[48,73,176],"detecting":[49],"hybrid":[50],"cues":[51],"image":[54],"segment":[56],"in":[59,202],"a":[60,74,78,87,99,121,138],"bottom-up":[61],"framework.":[62],"The":[63,188],"main":[64],"idea":[65],"proposed":[68,94,200],"segmentation":[69,179,196],"method":[70,82,201],"is":[71,83,93,104,142,155,210],"based":[72],"two-step":[75],"procedure:":[76],"1)":[77],"reasonable":[79],"superpixels":[80,126],"computing":[81],"conducted":[84,175],"2)":[86],"Mumford-Shah":[88],"(M-S)":[89],"optimal":[90,152],"merging":[91,153],"model":[92],"presegment":[96],"suerpixels.":[97],"First,":[98],"set":[100],"seed":[102,129],"pixels":[103,130],"positioned":[105],"at":[106],"lowest":[108],"texture":[109,134],"energy":[110],"map":[111],"computed":[112],"structure":[114],"tensor":[115],"diffusion":[116],"features.":[117],"Next,":[118],"implement":[120],"growing":[122],"procedure":[123],"extract":[125],"selected":[128],"with":[131,164],"cues.":[135],"After":[136],"that,":[137],"color-texture":[139],"histograms":[140],"feature":[141],"defined":[143],"measure":[145],"similarity":[146,160],"between":[147],"regions,":[148],"an":[150],"M-S":[151],"process":[154],"executed":[156],"by":[157],"comparing":[158],"adjacent":[162],"regions":[163],"standard":[165],"deviation":[166],"constraints":[167],"get":[169],"final":[170],"segmentation.":[171],"Extensive":[172],"experiments":[173,191],"Berkeley":[178],"database,":[180],"some":[181],"results":[189],"have":[192],"verified":[193],"that":[194,208],"effectiveness":[197],"segmenting":[203],"scenes":[205],"indicated":[207],"it":[209],"more":[211],"robust":[212],"accurate":[214],"than":[215],"conventional":[216],"methods.":[217]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}