{"id":"https://openalex.org/W3115939373","doi":"https://doi.org/10.1109/access.2020.3047848","title":"The Chan-Vese Model With Elastica and Landmark Constraints for Image Segmentation","display_name":"The Chan-Vese Model With Elastica and Landmark Constraints for Image Segmentation","publication_year":2020,"publication_date":"2020-12-28","ids":{"openalex":"https://openalex.org/W3115939373","doi":"https://doi.org/10.1109/access.2020.3047848","mag":"3115939373"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3047848","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3047848","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09309289.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09309289.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046706611","display_name":"Jintao Song","orcid":"https://orcid.org/0000-0003-0226-0052"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jintao Song","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-0226-0052","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040872723","display_name":"Huizhu Pan","orcid":"https://orcid.org/0000-0003-4832-7806"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huizhu Pan","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082668502","display_name":"Wanquan Liu","orcid":"https://orcid.org/0000-0003-4910-353X"},"institutions":[{"id":"https://openalex.org/I205640436","display_name":"Curtin University","ror":"https://ror.org/02n415q13","country_code":"AU","type":"education","lineage":["https://openalex.org/I205640436"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wanquan Liu","raw_affiliation_strings":["School of Electrical Engineering, Mathematical Science and Computing, Curtin University, Perth, WA, Australia"],"raw_orcid":"https://orcid.org/0000-0003-4910-353X","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Mathematical Science and Computing, Curtin University, Perth, WA, Australia","institution_ids":["https://openalex.org/I205640436"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061666788","display_name":"Zisen Xu","orcid":"https://orcid.org/0000-0001-5235-6736"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]},{"id":"https://openalex.org/I4210116869","display_name":"Affiliated Hospital of Qingdao University","ror":"https://ror.org/026e9yy16","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210116869"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zisen Xu","raw_affiliation_strings":["Affiliated Hospital, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-5235-6736","affiliations":[{"raw_affiliation_string":"Affiliated Hospital, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024","https://openalex.org/I4210116869"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056058837","display_name":"Zhenkuan Pan","orcid":"https://orcid.org/0000-0003-0197-1119"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenkuan Pan","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-0197-1119","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1958,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.52356445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"3508","last_page":"3516"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T11829","display_name":"Mathematical Biology Tumor Growth","score":0.9642999768257141,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9495000243186951,"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/initialization","display_name":"Initialization","score":0.8049160242080688},{"id":"https://openalex.org/keywords/lagrange-multiplier","display_name":"Lagrange multiplier","score":0.7524229884147644},{"id":"https://openalex.org/keywords/augmented-lagrangian-method","display_name":"Augmented Lagrangian method","score":0.6707270741462708},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6606321930885315},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6130130290985107},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.5509282350540161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5503749251365662},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5359481573104858},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4442494809627533},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44378143548965454},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.42854025959968567},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4249686598777771},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4243015646934509},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.4197434186935425},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40040406584739685},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37952324748039246},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34996742010116577}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.8049160242080688},{"id":"https://openalex.org/C73684929","wikidata":"https://www.wikidata.org/wiki/Q598870","display_name":"Lagrange multiplier","level":2,"score":0.7524229884147644},{"id":"https://openalex.org/C150452318","wikidata":"https://www.wikidata.org/wiki/Q4820432","display_name":"Augmented Lagrangian method","level":2,"score":0.6707270741462708},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6606321930885315},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6130130290985107},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5509282350540161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5503749251365662},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5359481573104858},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4442494809627533},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44378143548965454},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.42854025959968567},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4249686598777771},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4243015646934509},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.4197434186935425},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40040406584739685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37952324748039246},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34996742010116577},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3047848","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3047848","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09309289.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9f4a4ab0970d4d31b603782a93b0536e","is_oa":true,"landing_page_url":"https://doaj.org/article/9f4a4ab0970d4d31b603782a93b0536e","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":"IEEE Access, Vol 9, Pp 3508-3516 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3047848","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3047848","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09309289.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3115939373.pdf","grobid_xml":"https://content.openalex.org/works/W3115939373.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W562590299","https://openalex.org/W1558012644","https://openalex.org/W1579559187","https://openalex.org/W1579634341","https://openalex.org/W1604679511","https://openalex.org/W1971042117","https://openalex.org/W1980243515","https://openalex.org/W2020461703","https://openalex.org/W2043175883","https://openalex.org/W2054328864","https://openalex.org/W2076261573","https://openalex.org/W2081160575","https://openalex.org/W2081468024","https://openalex.org/W2085787886","https://openalex.org/W2090427126","https://openalex.org/W2094839903","https://openalex.org/W2103559027","https://openalex.org/W2114487471","https://openalex.org/W2116040950","https://openalex.org/W2126658928","https://openalex.org/W2132363464","https://openalex.org/W2147427282","https://openalex.org/W2211248819","https://openalex.org/W2525212141","https://openalex.org/W2612823945","https://openalex.org/W2735280637","https://openalex.org/W2888570268","https://openalex.org/W2909369068","https://openalex.org/W2962950991","https://openalex.org/W4251354162"],"related_works":["https://openalex.org/W2015060724","https://openalex.org/W3105202832","https://openalex.org/W2058578573","https://openalex.org/W2012871340","https://openalex.org/W3046535663","https://openalex.org/W3035320230","https://openalex.org/W4317581747","https://openalex.org/W4287694146","https://openalex.org/W2915353907","https://openalex.org/W3207854495"],"abstract_inverted_index":{"In":[0,63],"order":[1],"to":[2],"completely":[3],"separate":[4],"objects":[5],"with":[6,30,88],"large":[7],"sections":[8],"of":[9,49,66,72,117],"occluded":[10],"boundaries":[11,104],"in":[12],"an":[13],"image,":[14],"we":[15,38],"devise":[16],"a":[17],"new":[18],"variational":[19],"level":[20],"set":[21],"model":[22,29,97],"for":[23],"image":[24],"segmentation":[25,109,118],"combining":[26],"the":[27,70,79,95,115],"Chan-Vese":[28],"elastica":[31],"and":[32,60,83,122],"landmark":[33],"constraints.":[34],"For":[35],"computational":[36],"efficiency,":[37,110],"design":[39],"its":[40],"Augmented":[41],"Lagrangian":[42],"Method":[43,48],"(ALM)":[44],"or":[45],"Alternating":[46],"Direction":[47],"Multiplier":[50],"(ADMM)":[51],"method":[52,82],"by":[53],"introducing":[54],"some":[55],"auxiliary":[56],"variables,":[57],"Lagrange":[58],"multipliers,":[59],"penalty":[61],"parameters.":[62],"each":[64],"loop":[65],"alternating":[67],"iterative":[68,81],"optimization,":[69],"sub-problems":[71],"minimization":[73],"can":[74,98,106],"be":[75],"easily":[76],"solved":[77],"via":[78],"Gauss-Seidel":[80],"generalized":[84],"soft":[85],"thresholding":[86],"formulas":[87],"projection,":[89],"respectively.":[90],"Numerical":[91],"experiments":[92],"show":[93],"that":[94],"proposed":[96],"not":[99],"only":[100],"recover":[101],"larger":[102],"broken":[103],"but":[105],"also":[107],"improve":[108],"as":[111,113],"well":[112],"decrease":[114],"dependence":[116],"on":[119],"parameter":[120],"tuning":[121],"initialization.":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}