{"id":"https://openalex.org/W3186880611","doi":"https://doi.org/10.1515/mathm-2020-0108","title":"Efficient Hierarchical Multi-Object Segmentation in Layered Graphs","display_name":"Efficient Hierarchical Multi-Object Segmentation in Layered Graphs","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3186880611","doi":"https://doi.org/10.1515/mathm-2020-0108","mag":"3186880611"},"language":"en","primary_location":{"id":"doi:10.1515/mathm-2020-0108","is_oa":true,"landing_page_url":"http://doi.org/10.1515/mathm-2020-0108","pdf_url":"https://www.degruyter.com/document/doi/10.1515/mathm-2020-0108/pdf","source":{"id":"https://openalex.org/S4210194781","display_name":"Mathematical Morphology - Theory and Applications","issn_l":"2353-3390","issn":["2353-3390"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mathematical Morphology - Theory and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.degruyter.com/document/doi/10.1515/mathm-2020-0108/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051612577","display_name":"Leissi Margarita Casta\u00f1eda Leon","orcid":null},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Leissi M.C. Leon","raw_affiliation_strings":["University of S\u00e3o Paulo , Institute of Mathematics and Statistics , CEP 05508-090, S\u00e3o Paulo, SP , Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of S\u00e3o Paulo , Institute of Mathematics and Statistics , CEP 05508-090, S\u00e3o Paulo, SP , Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010025930","display_name":"Krzysztof Chris Ciesielski","orcid":"https://orcid.org/0000-0003-4282-5855"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krzysztof C. Ciesielski","raw_affiliation_strings":["Department of Mathematics , West Virginia University , Morgantown, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics , West Virginia University , Morgantown, USA","institution_ids":["https://openalex.org/I12097938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030203528","display_name":"Paulo A. V. Miranda","orcid":"https://orcid.org/0000-0001-6496-697X"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Paulo A.V. Miranda","raw_affiliation_strings":["University of S\u00e3o Paulo , Institute of Mathematics and Statistics , CEP 05508-090, S\u00e3o Paulo, SP , Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of S\u00e3o Paulo , Institute of Mathematics and Statistics , CEP 05508-090, S\u00e3o Paulo, SP , Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030203528"],"corresponding_institution_ids":["https://openalex.org/I17974374"],"apc_list":null,"apc_paid":null,"fwci":0.6789,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.712847,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"5","issue":"1","first_page":"21","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998000264167786,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9977999925613403,"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/prior-probability","display_name":"Prior probability","score":0.6067044138908386},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6008310317993164},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5780665278434753},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5776317119598389},{"id":"https://openalex.org/keywords/digraph","display_name":"Digraph","score":0.5543472170829773},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5511023998260498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.528608500957489},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.48484551906585693},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.4757366180419922},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42990565299987793},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4229084253311157},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3957568407058716},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37809866666793823},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.354695200920105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3508678376674652},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2479088306427002},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.22852486371994019}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6067044138908386},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6008310317993164},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5780665278434753},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5776317119598389},{"id":"https://openalex.org/C2779145032","wikidata":"https://www.wikidata.org/wiki/Q191494","display_name":"Digraph","level":2,"score":0.5543472170829773},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5511023998260498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.528608500957489},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.48484551906585693},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.4757366180419922},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42990565299987793},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4229084253311157},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3957568407058716},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37809866666793823},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.354695200920105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3508678376674652},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2479088306427002},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.22852486371994019},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1515/mathm-2020-0108","is_oa":true,"landing_page_url":"http://doi.org/10.1515/mathm-2020-0108","pdf_url":"https://www.degruyter.com/document/doi/10.1515/mathm-2020-0108/pdf","source":{"id":"https://openalex.org/S4210194781","display_name":"Mathematical Morphology - Theory and Applications","issn_l":"2353-3390","issn":["2353-3390"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mathematical Morphology - Theory and Applications","raw_type":"journal-article"},{"id":"pmh:003051783","is_oa":true,"landing_page_url":"https://doi.org/10.1515/mathm-2020-0108","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"reponame:Reposit\u00f3rio Institucional da USP (Biblioteca Digital da Produ\u00e7\u00e3o Intelectual)","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:1c4bd064e5e34cf98ca8d4d88e24698d","is_oa":true,"landing_page_url":"https://doaj.org/article/1c4bd064e5e34cf98ca8d4d88e24698d","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":"Mathematical Morphology, Vol 5, Iss 1, Pp 21-42 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1515/mathm-2020-0108","is_oa":true,"landing_page_url":"http://doi.org/10.1515/mathm-2020-0108","pdf_url":"https://www.degruyter.com/document/doi/10.1515/mathm-2020-0108/pdf","source":{"id":"https://openalex.org/S4210194781","display_name":"Mathematical Morphology - Theory and Applications","issn_l":"2353-3390","issn":["2353-3390"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mathematical Morphology - Theory and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7900000214576721}],"awards":[{"id":"https://openalex.org/G1139104289","display_name":null,"funder_award_id":"2014/12236-1","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G123767387","display_name":null,"funder_award_id":"465446/2014-0","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G1696553566","display_name":null,"funder_award_id":"2014/50937-1","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G2404318126","display_name":null,"funder_award_id":"308985/2015-0","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G2823776494","display_name":null,"funder_award_id":"88887","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G2902837242","display_name":null,"funder_award_id":"313554/2018-8","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G3569812555","display_name":null,"funder_award_id":"88887.136422/2017-00","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G3572101131","display_name":null,"funder_award_id":"2014/","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G3952380434","display_name":null,"funder_award_id":"486988/2013-9","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G4312984384","display_name":null,"funder_award_id":"2014/12236-1","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G4811761058","display_name":null,"funder_award_id":"2011/50761-2","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G4898239495","display_name":null,"funder_award_id":"486083/2013-6","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G5418576450","display_name":null,"funder_award_id":"2011/50761-2","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G5593807651","display_name":null,"funder_award_id":"2011/50761-2","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G5810721753","display_name":null,"funder_award_id":"465446/2014-0","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G6191138830","display_name":null,"funder_award_id":"88887","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G6718609306","display_name":null,"funder_award_id":"2016/21591-5","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G7285438780","display_name":null,"funder_award_id":"2014/12236-1","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G7443826428","display_name":null,"funder_award_id":"2014-0","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G8463386322","display_name":null,"funder_award_id":"465446/2014-0","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G8725393343","display_name":null,"funder_award_id":"FINEP 1266/13","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320322904","display_name":"Financiadora de Estudos e Projetos","ror":"https://ror.org/030w99567"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3186880611.pdf","grobid_xml":"https://content.openalex.org/works/W3186880611.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W100770544","https://openalex.org/W349644059","https://openalex.org/W1528063088","https://openalex.org/W1890779811","https://openalex.org/W1903588243","https://openalex.org/W1963822497","https://openalex.org/W1964162596","https://openalex.org/W1968974811","https://openalex.org/W1977757091","https://openalex.org/W1979548221","https://openalex.org/W2010758175","https://openalex.org/W2017256884","https://openalex.org/W2017973502","https://openalex.org/W2022351450","https://openalex.org/W2040670668","https://openalex.org/W2050255347","https://openalex.org/W2051507206","https://openalex.org/W2052406308","https://openalex.org/W2070384695","https://openalex.org/W2085403508","https://openalex.org/W2085504555","https://openalex.org/W2087835853","https://openalex.org/W2097339009","https://openalex.org/W2100296123","https://openalex.org/W2109040335","https://openalex.org/W2110593503","https://openalex.org/W2113017781","https://openalex.org/W2113137767","https://openalex.org/W2115284428","https://openalex.org/W2119300483","https://openalex.org/W2124351162","https://openalex.org/W2125637308","https://openalex.org/W2128819429","https://openalex.org/W2138700805","https://openalex.org/W2140749726","https://openalex.org/W2144950545","https://openalex.org/W2147899407","https://openalex.org/W2148820904","https://openalex.org/W2149270325","https://openalex.org/W2152646103","https://openalex.org/W2168555635","https://openalex.org/W2194775991","https://openalex.org/W2230042929","https://openalex.org/W2436179633","https://openalex.org/W2508521001","https://openalex.org/W2591584455","https://openalex.org/W2607268151","https://openalex.org/W2767615785","https://openalex.org/W2769833683","https://openalex.org/W2793050634","https://openalex.org/W2911392257","https://openalex.org/W2962941615","https://openalex.org/W2970447711","https://openalex.org/W3013985656","https://openalex.org/W3034438970"],"related_works":["https://openalex.org/W2038088825","https://openalex.org/W1975203667","https://openalex.org/W2370328482","https://openalex.org/W4287882779","https://openalex.org/W2046896701","https://openalex.org/W2265849288","https://openalex.org/W2140169421","https://openalex.org/W1996632063","https://openalex.org/W3009482083","https://openalex.org/W2114126363"],"abstract_inverted_index":{"Abstract":[0],"We":[1],"propose":[2],"a":[3,27,60,73,160],"novel":[4],"efficient":[5],"seed-based":[6],"method":[7],"for":[8],"the":[9,30,33,40,77,91,103,122,137,141],"multi-object":[10],"segmentation":[11,139],"of":[12,29,54,80,109],"images":[13],"based":[14],"on":[15,111],"graphs,":[16],"named":[17,63],"Hierarchical":[18],"Layered":[19],"Oriented":[20],"Image":[21],"Foresting":[22],"Transform":[23],"(HLOIFT).":[24],"It":[25],"uses":[26],"tree":[28,41,46],"relations":[31,79],"between":[32],"image":[34],"objects,":[35],"with":[36,131],"each":[37],"node":[38,47],"in":[39,90,154],"representing":[42],"an":[43],"object.":[44],"Each":[45],"may":[48],"contain":[49],"different":[50],"individual":[51],"high-level":[52,104],"priors":[53],"its":[55],"corresponding":[56],"object":[57],"and":[58,82,114,158],"defines":[59],"weighted":[61,94],"digraph,":[62],"as":[64],"layer.":[65],"The":[66,106],"layer":[67],"graphs":[68],"are":[69],"then":[70],"integrated":[71],"into":[72],"hierarchical":[74,78,92,138],"graph,":[75],"considering":[76],"inclusion":[81],"exclusion.":[83],"A":[84],"single":[85],"energy":[86],"optimization":[87],"is":[88,146],"performed":[89],"layered":[93],"digraph":[95],"leading":[96,149],"to":[97,121,136,150],"globally":[98,151],"optimal":[99,152],"results":[100,119,153],"satisfying":[101],"all":[102],"priors.":[105],"experimental":[107],"evaluations":[108],"HLOIFT,":[110],"medical,":[112],"natural,":[113],"synthetic":[115],"images,":[116],"indicate":[117],"promising":[118],"comparable":[120],"related":[123],"baseline":[124],"methods":[125],"that":[126],"include":[127],"structural":[128],"information,":[129],"but":[130],"lower":[132],"computational":[133],"complexity.":[134],"Compared":[135],"by":[140],"min-cut/max-flow":[142],"algorithm,":[143],"our":[144],"approach":[145],"less":[147],"restrictive,":[148],"more":[155],"general":[156],"scenarios,":[157],"has":[159],"better":[161],"running":[162],"time.":[163]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2021-08-02T00:00:00"}
