{"id":"https://openalex.org/W2419208546","doi":"https://doi.org/10.2312/pe/pg/pg2011short/019-024","title":"Fast Level Set Image Segmentation Using New Evolution Indicator Operators","display_name":"Fast Level Set Image Segmentation Using New Evolution Indicator Operators","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2419208546","doi":"https://doi.org/10.2312/pe/pg/pg2011short/019-024","mag":"2419208546"},"language":"en","primary_location":{"id":"doi:10.2312/pe/pg/pg2011short/019-024","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pe/pg/pg2011short/019-024","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/pe/pg/pg2011short/019-024","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100768160","display_name":"Chunxia Xiao","orcid":"https://orcid.org/0000-0002-4526-6297"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao, Chunxia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078657445","display_name":"Jiajia Gan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gan, Jiajia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5004788238","display_name":"Xiangyun Hu","orcid":"https://orcid.org/0000-0003-3623-8304"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Xiangyun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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":0.6797999739646912,"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":0.6797999739646912,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.6657000184059143,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5849156975746155},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5846382975578308},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5759013295173645},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5131055116653442},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5063520669937134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.505122721195221},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4598913788795471},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4372140169143677},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41119837760925293}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5849156975746155},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5846382975578308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5759013295173645},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5131055116653442},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5063520669937134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.505122721195221},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4598913788795471},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4372140169143677},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41119837760925293},{"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:10.2312/pe/pg/pg2011short/019-024","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pe/pg/pg2011short/019-024","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null},{"id":"mag:2419208546","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/pg/pg2011s.html#XiaoGH11","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.2312/pe/pg/pg2011short/019-024","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pe/pg/pg2011short/019-024","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W328882829","https://openalex.org/W1524334805","https://openalex.org/W1481720761","https://openalex.org/W3136589146","https://openalex.org/W2262681480","https://openalex.org/W2285168098","https://openalex.org/W2763041545","https://openalex.org/W2255421870","https://openalex.org/W2989318154","https://openalex.org/W2996140425","https://openalex.org/W2343574313","https://openalex.org/W2512791224","https://openalex.org/W2985704086","https://openalex.org/W2975547231","https://openalex.org/W2306311610","https://openalex.org/W3017205068","https://openalex.org/W2110019790","https://openalex.org/W2899599888","https://openalex.org/W2290775442","https://openalex.org/W1959080674"],"abstract_inverted_index":{"We":[0,15],"propose":[1,67],"an":[2,17,115],"effective":[3,18,137],"level":[4,33,102],"set":[5,34,103],"evolution":[6,30,122],"method":[7],"for":[8,138],"robust":[9],"object":[10,64,149],"segmentation":[11,128,140],"in":[12,75,151],"real":[13,126],"images.":[14],"construct":[16],"region":[19,37],"indicator":[20,25,38,73],"and":[21,48,141],"a":[22,70,88],"multiscale":[23],"edge":[24,72,91],"to":[26,68,104,118,144],"adaptively":[27,106],"guide":[28],"the":[29,32,42,76,80,101,109,131,147],"of":[31,79],"function.":[35],"The":[36],"is":[39,54,136],"built":[40],"on":[41,95,108],"similarity":[43],"map":[44],"between":[45],"image":[46,110,139],"pixels":[47],"user":[49],"specified":[50],"interest":[51],"regions,":[52],"which":[53,99,124],"computed":[55],"using":[56],"Gaussian":[57],"Mixture":[58],"Models":[59],"(GMM).":[60],"To":[61],"accurately":[62,145],"detect":[63,146],"boundary,":[65],"we":[66,86,113],"use":[69],"multi-scale":[71,81],"defined":[74],"gradient":[77],"domain":[78],"feature-preserving":[82],"filtered":[83],"image.":[84],"Then,":[85],"develop":[87],"new":[89],"mixing":[90],"stop":[92],"function":[93],"based":[94,107],"these":[96],"two":[97],"indicators,":[98],"forces":[100],"evolve":[105],"content.":[111],"Furthermore,":[112],"apply":[114],"acceleration":[116],"approach":[117,135],"speed":[119],"up":[120],"our":[121,134],"process,":[123],"yields":[125],"time":[127],"performance.":[129],"As":[130],"results":[132],"show,":[133],"works":[142],"well":[143],"complex":[148],"boundaries":[150],"real-time.":[152]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
