{"id":"https://openalex.org/W2171719603","doi":"https://doi.org/10.1109/cit.2004.1357168","title":"Fast initialization of level set method and an improvement to Chan-Vese model","display_name":"Fast initialization of level set method and an improvement to Chan-Vese model","publication_year":2004,"publication_date":"2004-12-23","ids":{"openalex":"https://openalex.org/W2171719603","doi":"https://doi.org/10.1109/cit.2004.1357168","mag":"2171719603"},"language":"en","primary_location":{"id":"doi:10.1109/cit.2004.1357168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cit.2004.1357168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Fourth International Conference onComputer and Information Technology, 2004. CIT '04.","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/A5083767931","display_name":"Renbo Xia","orcid":"https://orcid.org/0000-0003-0998-2605"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xia Renbo","raw_affiliation_strings":["Advanced Manufacture Laboratory, Shenyang Institute of Automation, Chinese Academy and Sciences, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Advanced Manufacture Laboratory, Shenyang Institute of Automation, Chinese Academy and Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liu Weijun","orcid":null},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Weijun","raw_affiliation_strings":["Advanced Manufacture Laboratory, Shenyang Institute of Automation, Chinese Academy and Sciences, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Advanced Manufacture Laboratory, Shenyang Institute of Automation, Chinese Academy and Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wang Yuechao","orcid":null},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Yuechao","raw_affiliation_strings":["Advanced Manufacture Laboratory, Shenyang Institute of Automation, Chinese Academy and Sciences, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Advanced Manufacture Laboratory, Shenyang Institute of Automation, Chinese Academy and Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017320951","display_name":"Xiaojun Wu","orcid":"https://orcid.org/0000-0002-3809-6832"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Xiaojun","raw_affiliation_strings":["Advanced Manufacture Laboratory, Shenyang Institute of Automation, Chinese Academy and Sciences, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Advanced Manufacture Laboratory, Shenyang Institute of Automation, Chinese Academy and Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083767931"],"corresponding_institution_ids":["https://openalex.org/I142078773"],"apc_list":null,"apc_paid":null,"fwci":0.276,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.63422185,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"25","issue":null,"first_page":"18","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9991000294685364,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/initialization","display_name":"Initialization","score":0.855783224105835},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.7270324230194092},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.5946197509765625},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5599629282951355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5414034128189087},{"id":"https://openalex.org/keywords/vector-flow","display_name":"Vector flow","score":0.5021398067474365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49539124965667725},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49025800824165344},{"id":"https://openalex.org/keywords/level-set-method","display_name":"Level set method","score":0.47013574838638306},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42614248394966125},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4257766008377075},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4246752858161926},{"id":"https://openalex.org/keywords/signed-distance-function","display_name":"Signed distance function","score":0.4154365360736847},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38591399788856506},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3306695818901062},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23861947655677795}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.855783224105835},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.7270324230194092},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.5946197509765625},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5599629282951355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5414034128189087},{"id":"https://openalex.org/C20749125","wikidata":"https://www.wikidata.org/wiki/Q7917826","display_name":"Vector flow","level":4,"score":0.5021398067474365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49539124965667725},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49025800824165344},{"id":"https://openalex.org/C125269122","wikidata":"https://www.wikidata.org/wiki/Q1751397","display_name":"Level set method","level":4,"score":0.47013574838638306},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42614248394966125},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4257766008377075},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4246752858161926},{"id":"https://openalex.org/C71169176","wikidata":"https://www.wikidata.org/wiki/Q7512907","display_name":"Signed distance function","level":2,"score":0.4154365360736847},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38591399788856506},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3306695818901062},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23861947655677795},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cit.2004.1357168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cit.2004.1357168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Fourth International Conference onComputer and Information Technology, 2004. CIT '04.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1238092070","https://openalex.org/W1973965874","https://openalex.org/W1991113069","https://openalex.org/W1991955856","https://openalex.org/W1995216827","https://openalex.org/W1996204208","https://openalex.org/W2034778284","https://openalex.org/W2057886711","https://openalex.org/W2069537876","https://openalex.org/W2078310966","https://openalex.org/W2110065373","https://openalex.org/W2114487471","https://openalex.org/W2116040950","https://openalex.org/W2144133758","https://openalex.org/W2149184914","https://openalex.org/W2158240273","https://openalex.org/W2159955373","https://openalex.org/W2393882730","https://openalex.org/W7066188112"],"related_works":["https://openalex.org/W2368150111","https://openalex.org/W2098360446","https://openalex.org/W2122184585","https://openalex.org/W3121464166","https://openalex.org/W1516196146","https://openalex.org/W2367921179","https://openalex.org/W1979393293","https://openalex.org/W2377107237","https://openalex.org/W2171493617","https://openalex.org/W2349796704"],"abstract_inverted_index":{"The":[0,83],"initialization":[1,33],"is":[2,13,69,113],"an":[3],"important":[4],"step":[5],"in":[6],"the":[7,23,37,49,55,66,73,78,133,139,144],"level":[8,24],"set":[9,25],"method.":[10],"However,":[11],"it":[12],"a":[14,31,43,46,116],"computational":[15],"time-consuming":[16],"step.":[17],"In":[18],"order":[19],"to":[20,71,110,114,119,131],"speed":[21],"up":[22],"evolution":[26],"procedures,":[27],"we":[28,137],"first":[29],"introduce":[30],"new":[32,59],"algorithm":[34],"based":[35,64],"on":[36,65],"vector":[38,44],"distance":[39],"transform,":[40],"which":[41],"propagates":[42],"with":[45,127],"position":[47],"of":[48,54,77,143],"nearest":[50],"object":[51,98],"pixel":[52],"instead":[53],"scalar":[56],"distance.":[57],"A":[58],"sign":[60],"map":[61],"labeling":[62],"method,":[63],"flood":[67],"fill,":[68],"proposed":[70,87,145],"distinguish":[72],"inside":[74],"and":[75,90,93,141],"outside":[76],"2D":[79],"closed":[80],"active":[81,84],"contour.":[82],"contour":[85],"model":[86,121,146],"by":[88,105,122,147],"Chan":[89],"Vese":[91],"(Chan":[92],"Vese,":[94],"2001)":[95],"can":[96],"detect":[97],"whose":[99],"boundaries":[100],"are":[101],"not":[102],"necessarily":[103],"defined":[104],"gradient.":[106],"Our":[107],"additional":[108],"contribution":[109],"this":[111],"paper":[112],"present":[115],"further":[117],"improvement":[118],"C-V":[120],"replacing":[123],"/spl":[124],"delta/(/spl":[125],"Phi/)":[126],"|/spl":[128],"nabla//spl":[129],"Phi/|":[130],"gain":[132],"global":[134],"optimization.":[135],"Finally,":[136],"illustrate":[138],"efficiency":[140],"performance":[142],"experimental":[148],"results.":[149]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
