{"id":"https://openalex.org/W2117224954","doi":"https://doi.org/10.1117/1.2360693","title":"Semi-automatic initialization of gradient vector flow snakes","display_name":"Semi-automatic initialization of gradient vector flow snakes","publication_year":2006,"publication_date":"2006-10-01","ids":{"openalex":"https://openalex.org/W2117224954","doi":"https://doi.org/10.1117/1.2360693","mag":"2117224954"},"language":"en","primary_location":{"id":"doi:10.1117/1.2360693","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.2360693","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronic Imaging","raw_type":"journal-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/A5101802340","display_name":"Yuan He","orcid":"https://orcid.org/0000-0002-6885-1341"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan He","raw_affiliation_strings":["Tsinghua Univ. (China)","Tsinghua University, Department of Automation, Beijing, 100084, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Univ. (China)","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua University, Department of Automation, Beijing, 100084, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101802340"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.5528,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.83962819,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"15","issue":"4","first_page":"043006","last_page":"043006"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.998199999332428,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.998199999332428,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9961000084877014,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/vector-flow","display_name":"Vector flow","score":0.9506251811981201},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.8400745391845703},{"id":"https://openalex.org/keywords/vector-field","display_name":"Vector field","score":0.6848161220550537},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5944668650627136},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5755274295806885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5436148047447205},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.4977608025074005},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4736522436141968},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44430598616600037},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35245707631111145},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3381369113922119},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3318156599998474},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27187293767929077},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.25185880064964294}],"concepts":[{"id":"https://openalex.org/C20749125","wikidata":"https://www.wikidata.org/wiki/Q7917826","display_name":"Vector flow","level":4,"score":0.9506251811981201},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.8400745391845703},{"id":"https://openalex.org/C91188154","wikidata":"https://www.wikidata.org/wiki/Q186247","display_name":"Vector field","level":2,"score":0.6848161220550537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5944668650627136},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5755274295806885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5436148047447205},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.4977608025074005},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4736522436141968},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44430598616600037},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35245707631111145},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3381369113922119},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3318156599998474},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27187293767929077},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.25185880064964294},{"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:10.1117/1.2360693","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.2360693","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1984566355","https://openalex.org/W1991113069","https://openalex.org/W2016369756","https://openalex.org/W2036970738","https://openalex.org/W2086921140","https://openalex.org/W2104095591","https://openalex.org/W2130344308","https://openalex.org/W2132515211","https://openalex.org/W2144127923","https://openalex.org/W2144133758","https://openalex.org/W2145803225","https://openalex.org/W2162837059","https://openalex.org/W2565923649","https://openalex.org/W3211330693"],"related_works":["https://openalex.org/W2159438535","https://openalex.org/W2246682799","https://openalex.org/W2361507913","https://openalex.org/W2203114750","https://openalex.org/W2112366897","https://openalex.org/W2170030983","https://openalex.org/W2079410687","https://openalex.org/W2351917300","https://openalex.org/W2277341736","https://openalex.org/W2363500556"],"abstract_inverted_index":{"Setting":[0],"of":[1,8,74,101,120],"initial":[2,88],"contours":[3,76,89,108],"is":[4,28,130],"a":[5,33],"critical":[6,43],"problem":[7],"active":[9],"contour":[10],"models.":[11],"Although":[12],"gradient":[13],"vector":[14,39],"flow":[15],"(GVF)":[16],"has":[17],"simplified":[18],"them":[19],"greatly":[20],"compared":[21],"to":[22,51,90],"the":[23,46,93,96,102,107],"traditional":[24],"snake,":[25],"additional":[26],"work":[27],"still":[29],"necessary.":[30],"We":[31],"propose":[32],"specific":[34],"setting":[35],"method":[36,82,129],"based":[37],"on":[38,111],"field":[40,48],"analysis.":[41],"Some":[42],"points":[44,56,85],"in":[45,77,95,114],"force":[47],"are":[49],"used":[50],"estimate":[52],"curve":[53],"deformation.":[54],"These":[55],"seem":[57],"like":[58],"sources":[59],"whose":[60],"neighbor":[61],"vectors":[62],"emanate":[63],"from":[64,109],"them,":[65],"therefore":[66],"they":[67],"can":[68,105],"be":[69],"regarded":[70],"as":[71],"inflated":[72],"centers":[73],"deformable":[75],"GVF":[78],"snakes.":[79],"The":[80],"proposed":[81],"detects":[83],"these":[84],"and":[86,99,132],"sets":[87],"contain":[91],"all":[92],"ones":[94],"object":[97],"area":[98],"none":[100],"others.":[103],"It":[104],"prevent":[106],"stabilizing":[110],"false":[112],"boundaries":[113,119],"homogeneous":[115],"regions":[116],"or":[117],"real":[118],"other":[121],"objects.":[122],"Several":[123],"experimental":[124],"results":[125],"demonstrate":[126],"that":[127],"this":[128],"robust":[131],"effective.":[133]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}