{"id":"https://openalex.org/W2010286114","doi":"https://doi.org/10.1109/icadiwt.2014.6814664","title":"A fast narrow band level set formulation for shape extraction","display_name":"A fast narrow band level set formulation for shape extraction","publication_year":2014,"publication_date":"2014-02-01","ids":{"openalex":"https://openalex.org/W2010286114","doi":"https://doi.org/10.1109/icadiwt.2014.6814664","mag":"2010286114"},"language":"en","primary_location":{"id":"doi:10.1109/icadiwt.2014.6814664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icadiwt.2014.6814664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Fifth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2014)","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/A5007605488","display_name":"V. R. Bindu","orcid":null},"institutions":[{"id":"https://openalex.org/I177436651","display_name":"Mahatma Gandhi University","ror":"https://ror.org/00h4spn88","country_code":"IN","type":"education","lineage":["https://openalex.org/I177436651"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V R Bindu","raw_affiliation_strings":["School of Computer Sciences, Mahatma Gandhi University, Kottayam, Kerala, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Sciences, Mahatma Gandhi University, Kottayam, Kerala, India","institution_ids":["https://openalex.org/I177436651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113814160","display_name":"K. N. Ramachandran Nair","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K N Ramachandran Nair","raw_affiliation_strings":["Department of Computer Science and Engineering, Viswajyothi College of Engineering, Muvattupuzha, Kerala, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Viswajyothi College of Engineering, Muvattupuzha, Kerala, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2426,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.57047816,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3656","issue":null,"first_page":"137","last_page":"142"},"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":0.9973999857902527,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9962000250816345,"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/level-set","display_name":"Level set (data structures)","score":0.7146591544151306},{"id":"https://openalex.org/keywords/signed-distance-function","display_name":"Signed distance function","score":0.6860318183898926},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6627962589263916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6201121807098389},{"id":"https://openalex.org/keywords/level-set-method","display_name":"Level set method","score":0.6149972677230835},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5306289196014404},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5107955932617188},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5036055445671082},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4946267306804657},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.45634257793426514},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.45251938700675964},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4460832476615906},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.41053149104118347},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3644377589225769},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3600384593009949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3406524658203125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26535606384277344},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.2447846531867981},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0781908631324768},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.07770642638206482}],"concepts":[{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.7146591544151306},{"id":"https://openalex.org/C71169176","wikidata":"https://www.wikidata.org/wiki/Q7512907","display_name":"Signed distance function","level":2,"score":0.6860318183898926},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6627962589263916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6201121807098389},{"id":"https://openalex.org/C125269122","wikidata":"https://www.wikidata.org/wiki/Q1751397","display_name":"Level set method","level":4,"score":0.6149972677230835},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5306289196014404},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5107955932617188},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5036055445671082},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4946267306804657},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.45634257793426514},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.45251938700675964},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4460832476615906},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.41053149104118347},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3644377589225769},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3600384593009949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3406524658203125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26535606384277344},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2447846531867981},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0781908631324768},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.07770642638206482},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icadiwt.2014.6814664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icadiwt.2014.6814664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Fifth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2014)","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":30,"referenced_works":["https://openalex.org/W4574224","https://openalex.org/W1593931364","https://openalex.org/W1604679511","https://openalex.org/W1970846581","https://openalex.org/W1976748909","https://openalex.org/W1977946246","https://openalex.org/W1991113069","https://openalex.org/W2039610499","https://openalex.org/W2060863649","https://openalex.org/W2088114053","https://openalex.org/W2093834886","https://openalex.org/W2104095591","https://openalex.org/W2106877482","https://openalex.org/W2116040950","https://openalex.org/W2116737017","https://openalex.org/W2122184585","https://openalex.org/W2132363464","https://openalex.org/W2139383790","https://openalex.org/W2142054519","https://openalex.org/W2144133758","https://openalex.org/W2149184914","https://openalex.org/W2152125436","https://openalex.org/W2292983663","https://openalex.org/W2324690594","https://openalex.org/W2527576905","https://openalex.org/W2737036732","https://openalex.org/W2998023265","https://openalex.org/W3152345671","https://openalex.org/W3211330693","https://openalex.org/W6727803430"],"related_works":["https://openalex.org/W2417159703","https://openalex.org/W2122184585","https://openalex.org/W1516196146","https://openalex.org/W2367921179","https://openalex.org/W3121464166","https://openalex.org/W1979393293","https://openalex.org/W2377107237","https://openalex.org/W2171493617","https://openalex.org/W2354888855","https://openalex.org/W2381815228"],"abstract_inverted_index":{"Shape":[0,14],"modeling":[1,163,168],"is":[2,55,86,113,134,148],"an":[3,137],"active":[4],"area":[5],"of":[6,22,43,48,103,160],"research":[7],"in":[8,17,140,175],"Computer":[9,12],"Graphics":[10],"and":[11,20,31,89,125,152,192],"Vision.":[13],"models":[15],"aid":[16],"the":[18,104,141,158],"representation":[19],"recognition":[21],"arbitrarily":[23],"complex":[24],"shapes.":[25],"This":[26,154],"paper":[27],"proposes":[28],"a":[29,59,68,109,161,176],"fast":[30],"computationally":[32,149],"efficient":[33,88,151],"narrow":[34,64],"band":[35,65],"level":[36,70,97,105,131,177],"set":[37,71,98,106,132,174,178],"algorithm":[38],"for":[39,165],"recovering":[40],"arbitrary":[41,138],"shapes":[42,173,188],"objects":[44],"from":[45,189],"various":[46],"types":[47],"image":[49,142],"data.":[50],"The":[51,83,100,130,144,180],"overall":[52],"computational":[53,123],"cost":[54],"reduced":[56],"by":[57,78,117],"using":[58],"five":[60],"grid":[61],"point":[62],"wide":[63],"applied":[66,185],"on":[67,170],"variational":[69],"formulation":[72,155],"that":[73],"can":[74,156],"be":[75],"easily":[76],"implemented":[77],"simple":[79,118],"finite":[80,119],"difference":[81,120],"scheme.":[82],"proposed":[84,181],"method":[85,182],"more":[87,150],"has":[90,183],"many":[91],"advantages":[92],"when":[93],"compared":[94],"to":[95,108,136,186],"traditional":[96],"formulations.":[99],"periodical":[101],"reinitialization":[102],"function":[107,112,133],"signed":[110],"distance":[111],"completely":[114],"avoided.":[115],"Implementation":[116],"scheme":[121,164],"reduces":[122],"complexity":[124],"ensures":[126],"faster":[127],"curve":[128],"evolution.":[129],"initialized":[135],"region":[139,145],"domain.":[143],"based":[146],"initialization":[147],"flexible.":[153],"form":[157,172],"basis":[159],"shape":[162],"implementing":[166],"solid":[167],"techniques":[169],"free":[171],"framework.":[179],"been":[184],"extract":[187],"both":[190],"synthetic":[191],"real":[193],"images":[194],"including":[195],"some":[196],"low":[197],"contrast":[198],"medical":[199],"images,":[200],"with":[201],"promising":[202],"results.":[203]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}