{"id":"https://openalex.org/W4408804540","doi":"https://doi.org/10.1016/j.gmod.2025.101258","title":"Computing medial axis of a simple polygon in linear time based on R-L sequence","display_name":"Computing medial axis of a simple polygon in linear time based on R-L sequence","publication_year":2025,"publication_date":"2025-03-25","ids":{"openalex":"https://openalex.org/W4408804540","doi":"https://doi.org/10.1016/j.gmod.2025.101258"},"language":"en","primary_location":{"id":"doi:10.1016/j.gmod.2025.101258","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.gmod.2025.101258","pdf_url":null,"source":{"id":"https://openalex.org/S137436721","display_name":"Graphical Models","issn_l":"1524-0703","issn":["1524-0703","1524-0711"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Graphical Models","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.gmod.2025.101258","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100332193","display_name":"Hongyu Chen","orcid":"https://orcid.org/0000-0001-9879-2744"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu Chen","raw_affiliation_strings":["School of Computer, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054983702","display_name":"Xiao-Diao Chen","orcid":"https://orcid.org/0000-0002-7523-7657"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaodiao Chen","raw_affiliation_strings":["School of Computer, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yizhao Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhao Xue","raw_affiliation_strings":["School of Computer, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5054983702"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":{"value":2180,"currency":"USD","value_usd":2180},"apc_paid":{"value":2180,"currency":"USD","value_usd":2180},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0954184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"139","issue":null,"first_page":"101258","last_page":"101258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10996","display_name":"Computational Geometry and Mesh Generation","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10996","display_name":"Computational Geometry and Mesh Generation","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9927999973297119,"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/simple-polygon","display_name":"Simple polygon","score":0.799168586730957},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.7490562200546265},{"id":"https://openalex.org/keywords/medial-axis","display_name":"Medial axis","score":0.6962676048278809},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6778552532196045},{"id":"https://openalex.org/keywords/polygon","display_name":"Polygon (computer graphics)","score":0.6071942448616028},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.48775678873062134},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4767630696296692},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4599681496620178},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4596099853515625},{"id":"https://openalex.org/keywords/time-sequence","display_name":"Time sequence","score":0.41412118077278137},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.26729872822761536},{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.23698410391807556},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08511295914649963},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.04833340644836426},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.0442274808883667},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.04308268427848816}],"concepts":[{"id":"https://openalex.org/C197949415","wikidata":"https://www.wikidata.org/wiki/Q782746","display_name":"Simple polygon","level":3,"score":0.799168586730957},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.7490562200546265},{"id":"https://openalex.org/C185877587","wikidata":"https://www.wikidata.org/wiki/Q1757407","display_name":"Medial axis","level":2,"score":0.6962676048278809},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6778552532196045},{"id":"https://openalex.org/C190694206","wikidata":"https://www.wikidata.org/wiki/Q3276654","display_name":"Polygon (computer graphics)","level":3,"score":0.6071942448616028},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.48775678873062134},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4767630696296692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4599681496620178},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4596099853515625},{"id":"https://openalex.org/C3020136221","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time sequence","level":2,"score":0.41412118077278137},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.26729872822761536},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.23698410391807556},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08511295914649963},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.04833340644836426},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0442274808883667},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.04308268427848816},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.gmod.2025.101258","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.gmod.2025.101258","pdf_url":null,"source":{"id":"https://openalex.org/S137436721","display_name":"Graphical Models","issn_l":"1524-0703","issn":["1524-0703","1524-0711"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Graphical Models","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:367f49661c6e48ce8d5e145ef4c17b62","is_oa":true,"landing_page_url":"https://doaj.org/article/367f49661c6e48ce8d5e145ef4c17b62","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Graphical Models, Vol 139, Iss , Pp 101258- (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.gmod.2025.101258","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.gmod.2025.101258","pdf_url":null,"source":{"id":"https://openalex.org/S137436721","display_name":"Graphical Models","issn_l":"1524-0703","issn":["1524-0703","1524-0711"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Graphical Models","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1776877926","display_name":"CAD\u975e\u7ebf\u6027\u65b9\u7a0b\u7ec4\u9ad8\u6548\u7a33\u5b9a\u7684\u51e0\u4f55\u6c42\u89e3\u7406\u8bba\u548c\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61972120","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":106,"referenced_works":["https://openalex.org/W607979281","https://openalex.org/W1490741530","https://openalex.org/W1541829592","https://openalex.org/W1570514300","https://openalex.org/W1967005434","https://openalex.org/W1969052304","https://openalex.org/W1970758273","https://openalex.org/W1977276706","https://openalex.org/W1979889607","https://openalex.org/W1980108629","https://openalex.org/W1993391455","https://openalex.org/W2001108154","https://openalex.org/W2005685712","https://openalex.org/W2008425943","https://openalex.org/W2010880705","https://openalex.org/W2013602445","https://openalex.org/W2014885087","https://openalex.org/W2020065037","https://openalex.org/W2023879950","https://openalex.org/W2028340872","https://openalex.org/W2042353183","https://openalex.org/W2050417465","https://openalex.org/W2050637261","https://openalex.org/W2052393177","https://openalex.org/W2059661411","https://openalex.org/W2077976550","https://openalex.org/W2094233695","https://openalex.org/W2105207001","https://openalex.org/W2105733544","https://openalex.org/W2107257130","https://openalex.org/W2113216389","https://openalex.org/W2115920764","https://openalex.org/W2116251909","https://openalex.org/W2116814002","https://openalex.org/W2118316471","https://openalex.org/W2134313450","https://openalex.org/W2159584837","https://openalex.org/W2165708270","https://openalex.org/W2172431334","https://openalex.org/W2269935213","https://openalex.org/W2322951925","https://openalex.org/W2343977545","https://openalex.org/W2462208838","https://openalex.org/W2472661502","https://openalex.org/W2495697165","https://openalex.org/W2550399328","https://openalex.org/W2607246194","https://openalex.org/W2611752399","https://openalex.org/W2620887990","https://openalex.org/W2724146026","https://openalex.org/W2742335709","https://openalex.org/W2763071552","https://openalex.org/W2770735752","https://openalex.org/W2773118719","https://openalex.org/W2794972187","https://openalex.org/W2795565859","https://openalex.org/W2803251980","https://openalex.org/W2803458427","https://openalex.org/W2804908534","https://openalex.org/W2898450393","https://openalex.org/W2901898606","https://openalex.org/W2924954839","https://openalex.org/W2929245070","https://openalex.org/W2945116459","https://openalex.org/W2965875917","https://openalex.org/W2989058043","https://openalex.org/W3003409178","https://openalex.org/W3024451790","https://openalex.org/W3025736398","https://openalex.org/W3085778762","https://openalex.org/W3093998947","https://openalex.org/W3104596620","https://openalex.org/W3141321887","https://openalex.org/W3166006235","https://openalex.org/W3204405814","https://openalex.org/W4206245115","https://openalex.org/W4239363811","https://openalex.org/W4281393945","https://openalex.org/W4290725511","https://openalex.org/W4311805700","https://openalex.org/W4367040576","https://openalex.org/W4381051139","https://openalex.org/W4385766096","https://openalex.org/W4401173840","https://openalex.org/W4402387632","https://openalex.org/W4404525293","https://openalex.org/W6600683242","https://openalex.org/W6632606715","https://openalex.org/W6637862368","https://openalex.org/W6642264896","https://openalex.org/W6657505528","https://openalex.org/W6663901979","https://openalex.org/W6664786835","https://openalex.org/W6675938115","https://openalex.org/W6679186771","https://openalex.org/W6679653321","https://openalex.org/W6681833064","https://openalex.org/W6739722591","https://openalex.org/W6755774810","https://openalex.org/W6769928019","https://openalex.org/W6784842952","https://openalex.org/W6785491822","https://openalex.org/W6792741548","https://openalex.org/W6846069660","https://openalex.org/W6850504246","https://openalex.org/W6872428959"],"related_works":["https://openalex.org/W2102467404","https://openalex.org/W4387619756","https://openalex.org/W2608536130","https://openalex.org/W2155991021","https://openalex.org/W2987051945","https://openalex.org/W2154329468","https://openalex.org/W4296464845","https://openalex.org/W2356768437","https://openalex.org/W2389833224","https://openalex.org/W53644101"],"abstract_inverted_index":{"Medial":[0],"axis":[1,29,106,181],"computation":[2],"has":[3],"wide":[4],"applications":[5],"in":[6,92,117,158],"pattern":[7],"recognition,":[8],"image":[9],"processing,":[10],"finite":[11],"element":[12],"mesh":[13],"generation,":[14],"and":[15,39,127,160],"CNC":[16],"tool":[17],"path":[18],"extraction.":[19],"Aiming":[20],"to":[21,69,148,162,177,192],"explore":[22],"intrinsic":[23],"geometric":[24],"attributes":[25],"of":[26,30,43,50,66,82,103,131,140,154,182,189],"the":[27,64,78,83,104,115,118,138,141,155,167,179,187],"medial":[28,105,180],"a":[31,93,97,129],"simple":[32,85],"polygon":[33],"which":[34,87,185],"can":[35,88,145,173],"be":[36,70,89,146,174],"accurately":[37],"represented":[38],"faces":[40],"its":[41],"challenge":[42],"computational":[44,52,99,132],"efficiency,":[45],"an":[46],"R-L":[47,143],"sequence-based":[48],"algorithm":[49,73,144],"linear":[51],"complexity":[53,65],"is":[54,74],"proposed":[55,142],"for":[56],"achieving":[57],"much":[58],"higher":[59,98],"efficiency;":[60],"especially,":[61],"it":[62,172],"enables":[63],"Delaunay":[67],"triangulation":[68],"linear.":[71],"The":[72,101],"done":[75],"by":[76],"reconstructing":[77],"Voronoi":[79],"diagram":[80],"tree":[81],"given":[84],"polygon,":[86],"easily":[90],"performed":[91],"breadth-first":[94],"manner":[95],"with":[96,124],"efficiency.":[100],"branches":[102,116],"are":[107],"naturally":[108],"divided":[109],"into":[110],"several":[111],"panels,":[112],"such":[113],"that":[114,153],"same":[119],"panel":[120],"cause":[121],"no":[122],"interference":[123],"each":[125],"other":[126],"decrease":[128],"lot":[130],"costs.":[133],"Based":[134],"on":[135],"our":[136],"experiments,":[137],"efficiency":[139],"6":[147],"17":[149],"times":[150,164],"greater":[151,165],"than":[152,166],"state-of-the-art":[156],"method":[157],"TVCG,":[159],"up":[161],"419":[163],"CGAL":[168],"algorithm.":[169],"In":[170],"principle,":[171],"directly":[175],"applied":[176],"compute":[178],"curvilinear":[183],"polygons,":[184],"expands":[186],"scope":[188],"application":[190],"compared":[191],"Chin\u2019s":[193],"method.":[194]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}