{"id":"https://openalex.org/W1987194673","doi":"https://doi.org/10.1109/icip.2014.7025896","title":"A new approach for multiphase piecewise smooth image segmentation","display_name":"A new approach for multiphase piecewise smooth image segmentation","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1987194673","doi":"https://doi.org/10.1109/icip.2014.7025896","mag":"1987194673"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-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/A5101875880","display_name":"Ying Gu","orcid":"https://orcid.org/0000-0001-6501-302X"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ying Gu","raw_affiliation_strings":["Institute for Infocomm Research","Institute for InfoComm Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Institute for InfoComm Research","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101760811","display_name":"Wei Xiong","orcid":"https://orcid.org/0000-0002-1399-5559"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wei Xiong","raw_affiliation_strings":["Institute for Infocomm Research","Institute for InfoComm Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Institute for InfoComm Research","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112395743","display_name":"Li-Lian Wang","orcid":"https://orcid.org/0000-0002-2735-9019"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Li-Lian Wang","raw_affiliation_strings":["Nanyang Technological University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048463927","display_name":"Jierong Cheng","orcid":"https://orcid.org/0000-0001-5471-5085"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jierong Cheng","raw_affiliation_strings":["Institute for Infocomm Research","Institute for InfoComm Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Institute for InfoComm Research","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090385470","display_name":"Weimin Huang","orcid":"https://orcid.org/0000-0001-9622-5041"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Weimin Huang","raw_affiliation_strings":["Institute for Infocomm Research","Institute for InfoComm Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Institute for InfoComm Research","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109935903","display_name":"Jiayin Zhou","orcid":"https://orcid.org/0009-0002-3269-0723"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jiayin Zhou","raw_affiliation_strings":["Institute for Infocomm Research","Institute for InfoComm Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Institute for InfoComm Research","institution_ids":["https://openalex.org/I3005327000"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9888,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79293077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"17","issue":null,"first_page":"4417","last_page":"4421"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9710999727249146,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9657999873161316,"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/image-segmentation","display_name":"Image segmentation","score":0.6927982568740845},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6400830149650574},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.6014634966850281},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.546347439289093},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5285068154335022},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5173180103302002},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4714915454387665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45751991868019104},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44424664974212646},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.4375460743904114},{"id":"https://openalex.org/keywords/level-set-method","display_name":"Level set method","score":0.4227040708065033},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.4172183871269226},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.413014680147171},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.41106563806533813},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4006786048412323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3273792862892151}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6927982568740845},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6400830149650574},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.6014634966850281},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.546347439289093},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5285068154335022},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5173180103302002},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4714915454387665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45751991868019104},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44424664974212646},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.4375460743904114},{"id":"https://openalex.org/C125269122","wikidata":"https://www.wikidata.org/wiki/Q1751397","display_name":"Level set method","level":4,"score":0.4227040708065033},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.4172183871269226},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.413014680147171},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.41106563806533813},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4006786048412323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3273792862892151},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7025896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W640428934","https://openalex.org/W1991113069","https://openalex.org/W2005089986","https://openalex.org/W2034648653","https://openalex.org/W2080622120","https://openalex.org/W2104095591","https://openalex.org/W2112713547","https://openalex.org/W2113137767","https://openalex.org/W2114487471","https://openalex.org/W2116040950","https://openalex.org/W2136378950","https://openalex.org/W2139205765","https://openalex.org/W2139478903","https://openalex.org/W2142035140","https://openalex.org/W2143516773","https://openalex.org/W2147484997","https://openalex.org/W2165734775","https://openalex.org/W2247503652","https://openalex.org/W3211330693","https://openalex.org/W4253937035","https://openalex.org/W6680571588","https://openalex.org/W6690988038"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2098360446","https://openalex.org/W2091868064","https://openalex.org/W2372421320","https://openalex.org/W2057775483","https://openalex.org/W2041871225","https://openalex.org/W2373659438","https://openalex.org/W2380607399"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,18,72],"is":[2],"to":[3,11,30,79,94],"separate":[4],"the":[5,21,39,43,56,60,70],"image":[6,17,71],"domain":[7],"into":[8],"sub-domains":[9],"according":[10],"some":[12],"optimization":[13,97],"rule.":[14],"Variational":[15],"level-set":[16],"based":[19],"on":[20,108],"Mumford-Shah":[22],"model,":[23],"together":[24],"with":[25],"level":[26,46],"set":[27,47],"formulation,":[28],"leads":[29],"complicate":[31],"implementation":[32],"and":[33,49,114],"expensive":[34],"computational":[35],"time.":[36],"To":[37],"overcome":[38],"difficulty":[40],"in":[41,55,65],"solving":[42],"complex":[44],"coupled":[45],"functions":[48],"handle":[50,80],"any":[51,83],"number":[52],"of":[53,86,102],"phases":[54,85],"image,":[57],"we":[58],"improve":[59],"region-base":[61],"active":[62],"contour":[63],"model":[64],"this":[66],"paper.":[67],"We":[68,88],"formulate":[69],"as":[73],"a":[74],"new":[75],"multiphase":[76],"minimization":[77],"problem":[78,98],"images":[81,110],"containing":[82],"integer":[84],"intensities.":[87],"also":[89],"propose":[90],"efficient":[91],"numerical":[92],"algorithms":[93],"solve":[95],"such":[96],"without":[99],"extra":[100],"steps":[101],"convex":[103],"relaxation.":[104],"Numerical":[105],"validation":[106],"experiments":[107],"various":[109],"show":[111],"better":[112],"accuracy":[113],"robustness":[115],"over":[116],"existing":[117],"methods.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}