{"id":"https://openalex.org/W2766257206","doi":"https://doi.org/10.1142/s0218001418540137","title":"An Improved Adaptive Level Set Method for Image Segmentation","display_name":"An Improved Adaptive Level Set Method for Image Segmentation","publication_year":2017,"publication_date":"2017-10-19","ids":{"openalex":"https://openalex.org/W2766257206","doi":"https://doi.org/10.1142/s0218001418540137","mag":"2766257206"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001418540137","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001418540137","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5100425661","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0002-9115-6718"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210117337","display_name":"Neijiang Normal University","ror":"https://ror.org/02bc8tz70","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117337"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Zhang","raw_affiliation_strings":["Data Recovery Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang 641110, P. R. China","Numerical Simulation Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang 641110, P. R. China","State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, P. R. China"],"affiliations":[{"raw_affiliation_string":"Data Recovery Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang 641110, P. R. China","institution_ids":["https://openalex.org/I4210117337"]},{"raw_affiliation_string":"Numerical Simulation Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang 641110, P. R. China","institution_ids":["https://openalex.org/I4210117337"]},{"raw_affiliation_string":"State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, P. R. China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101033801","display_name":"Kai-Teng Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117337","display_name":"Neijiang Normal University","ror":"https://ror.org/02bc8tz70","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai-Teng Wu","raw_affiliation_strings":["Data Recovery Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang 641110, P. R. China","Numerical Simulation Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang 641110, P. R. China"],"affiliations":[{"raw_affiliation_string":"Data Recovery Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang 641110, P. R. China","institution_ids":["https://openalex.org/I4210117337"]},{"raw_affiliation_string":"Numerical Simulation Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang 641110, P. R. China","institution_ids":["https://openalex.org/I4210117337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100741316","display_name":"Ping Li","orcid":"https://orcid.org/0000-0003-1286-4546"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I2801345734","display_name":"China Academy of Engineering Physics","ror":"https://ror.org/039vqpp67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2801345734"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Li","raw_affiliation_strings":["Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, P. R. China","State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, P. R. China"],"affiliations":[{"raw_affiliation_string":"Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, P. R. China","institution_ids":["https://openalex.org/I2801345734"]},{"raw_affiliation_string":"State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, P. R. China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100425661"],"corresponding_institution_ids":["https://openalex.org/I125839683","https://openalex.org/I4210117337"],"apc_list":null,"apc_paid":null,"fwci":0.5461,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.76296999,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"32","issue":"05","first_page":"1854013","last_page":"1854013"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9889000058174133,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9889000058174133,"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":0.9811000227928162,"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":0.9811000227928162,"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":0.7825154662132263},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.781774640083313},{"id":"https://openalex.org/keywords/level-set-method","display_name":"Level set method","score":0.76267009973526},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7116765379905701},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6825968623161316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6761075854301453},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5925394892692566},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5731502771377563},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.567128598690033},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5567178130149841},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5268874168395996},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4935544729232788},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4860411286354065},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4637380838394165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4108855426311493}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7825154662132263},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.781774640083313},{"id":"https://openalex.org/C125269122","wikidata":"https://www.wikidata.org/wiki/Q1751397","display_name":"Level set method","level":4,"score":0.76267009973526},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7116765379905701},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6825968623161316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6761075854301453},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5925394892692566},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5731502771377563},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.567128598690033},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5567178130149841},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5268874168395996},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4935544729232788},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4860411286354065},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4637380838394165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4108855426311493},{"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:10.1142/s0218001418540137","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001418540137","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6299999952316284}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322970","display_name":"Education Department of Sichuan Province","ror":"https://ror.org/05s1c4z27"},{"id":"https://openalex.org/F4320322990","display_name":"Sichuan University","ror":"https://ror.org/011ashp19"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W4574224","https://openalex.org/W1976748909","https://openalex.org/W1991113069","https://openalex.org/W1995216827","https://openalex.org/W2045545335","https://openalex.org/W2081400774","https://openalex.org/W2088114053","https://openalex.org/W2093834886","https://openalex.org/W2101560656","https://openalex.org/W2104095591","https://openalex.org/W2116040950","https://openalex.org/W2144133758","https://openalex.org/W2145803225","https://openalex.org/W2149184914","https://openalex.org/W2189026906","https://openalex.org/W2222259358","https://openalex.org/W2260231484","https://openalex.org/W2333061518","https://openalex.org/W2552852524","https://openalex.org/W2998023265","https://openalex.org/W3211330693"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2367921179","https://openalex.org/W2945274617","https://openalex.org/W657288383","https://openalex.org/W3080476861","https://openalex.org/W2373659438","https://openalex.org/W4313052709","https://openalex.org/W1879755808","https://openalex.org/W1986638347"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2],"improve":[3],"the":[4,43,84,100],"accuracy":[5,97],"of":[6,36,46,61,65,70,110],"image":[7],"segmentation,":[8],"an":[9,62,71],"improved":[10,50,85],"adaptive":[11,26,86],"level":[12,19,29,87],"set":[13,20,30,88],"method":[14,24,51,89],"is":[15,42],"proposed":[16],"based":[17],"on":[18],"evolution":[21,31,40],"without":[22],"re-initialization":[23],"and":[25,58,67,75,94,108],"distance":[27],"preserving":[28],"method.":[32],"A":[33],"new":[34],"definition":[35],"weight":[37],"coefficient":[38],"in":[39,105],"equations":[41],"main":[44],"innovation":[45],"this":[47],"paper.":[48],"The":[49],"can":[52],"detect":[53],"certain":[54],"object":[55,72],"boundaries,":[56],"interior":[57],"exterior":[59],"contours":[60],"object,":[63],"edges":[64,109],"multi-objects":[66,111],"weak":[68,106],"boundaries":[69,107],"by":[73],"synthetic":[74],"real":[76],"images":[77],"numerical":[78],"experiments.":[79],"Numerical":[80],"results":[81],"show":[82],"that":[83],"has":[90],"faster":[91],"segmentation":[92,96,112],"speed":[93],"higher":[95],"compared":[98],"with":[99],"previous":[101],"two":[102],"methods,":[103],"especially":[104],"problems.":[113]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
