{"id":"https://openalex.org/W2889911153","doi":"https://doi.org/10.1109/icip.2018.8451680","title":"Multi-Threshold LIP Contour Detection","display_name":"Multi-Threshold LIP Contour Detection","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2889911153","doi":"https://doi.org/10.1109/icip.2018.8451680","mag":"2889911153"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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/A5011784602","display_name":"Panagiota Spyridonos","orcid":"https://orcid.org/0000-0002-5021-6577"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Panagiota Spyridonos","raw_affiliation_strings":["Department of Medical Physics, University of Ioannina, Ioannina, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Medical Physics, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033077407","display_name":"Aggelos Fares Saint","orcid":null},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Aggelos Fares Saint","raw_affiliation_strings":["Department of Computer Science & Engineering, University of Ioannina, Ioannina, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007939716","display_name":"Aristidis Likas","orcid":"https://orcid.org/0000-0003-3170-5428"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Aristidis Likas","raw_affiliation_strings":["Department of Computer Science & Engineering, University of Ioannina, Ioannina, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021354047","display_name":"Georgios Gaitanis","orcid":"https://orcid.org/0000-0001-5482-1304"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Gaitanis","raw_affiliation_strings":["Department of Skin and Venereal Diseases, University of Ioannina, Ioannina, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Skin and Venereal Diseases, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081961495","display_name":"Ioannis D. Bassukas","orcid":"https://orcid.org/0000-0002-0252-8314"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ioannis Bassukas","raw_affiliation_strings":["Department of Skin and Venereal Diseases, University of Ioannina, Ioannina, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Skin and Venereal Diseases, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5011784602"],"corresponding_institution_ids":["https://openalex.org/I194019607"],"apc_list":null,"apc_paid":null,"fwci":0.2575,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57131729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1912","last_page":"1916"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10205","display_name":"Advanced Fiber Optic Sensors","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10205","display_name":"Advanced Fiber Optic Sensors","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9685999751091003,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9556000232696533,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.6115756630897522},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4971673786640167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4888893663883209},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3371813893318176}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6115756630897522},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4971673786640167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4888893663883209},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3371813893318176}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1519520670","https://openalex.org/W1574171128","https://openalex.org/W1915878681","https://openalex.org/W1975684011","https://openalex.org/W1978335109","https://openalex.org/W2017705225","https://openalex.org/W2064347532","https://openalex.org/W2070462112","https://openalex.org/W2082394177","https://openalex.org/W2083115710","https://openalex.org/W2084008764","https://openalex.org/W2100119630","https://openalex.org/W2104686155","https://openalex.org/W2106844098","https://openalex.org/W2106867955","https://openalex.org/W2115519042","https://openalex.org/W2117986023","https://openalex.org/W2135847672","https://openalex.org/W2139911235","https://openalex.org/W2141290198","https://openalex.org/W2149950657","https://openalex.org/W2160754664","https://openalex.org/W2168311553","https://openalex.org/W2343305037","https://openalex.org/W2977767493","https://openalex.org/W4232605433","https://openalex.org/W4294242511","https://openalex.org/W6634591624","https://openalex.org/W6670947715","https://openalex.org/W6675851846"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"propose":[4],"a":[5,33,59,80,93,111],"novel,":[6],"multi-threshold":[7],"method":[8,31,76],"for":[9,70,115],"lip":[10,16,43,56,73,83,101,119,137,144],"contour":[11,27,44,120],"extraction":[12,45,121],"from":[13,86,96],"high-resolution":[14],"static":[15],"images":[17,84],"acquired":[18,95],"in":[19,130],"an":[20],"uncontrolled":[21],"environment":[22],"and":[23,35,54,64,103,117,139],"emphasizing":[24],"on":[25,79,92],"the":[26,40,52,68,71],"details.":[28],"The":[29,75],"introduced":[30],"is":[32,110],"\u201cDivide":[34],"conquer\u201d":[36],"approach.":[37],"We":[38],"broke":[39],"problem":[41],"of":[42,50,82,128],"into":[46,67],"two":[47],"base":[48],"sub-problems":[49],"locating":[51],"upper":[53],"lower":[55],"contours":[57],"using":[58],"novel":[60],"threshold":[61],"selection":[62],"algorithm":[63,114],"combining":[65],"them":[66],"solution":[69],"original":[72],"contour.":[74,145],"was":[77],"evaluated":[78],"set":[81,94],"taken":[85],"healthy":[87],"subjects":[88],"as":[89,91,135],"well":[90],"elder":[97],"people":[98],"with":[99,105,142],"degraded":[100],"shapes,":[102],"diagnosed":[104],"solar":[106],"cheilosis.":[107],"Our":[108],"approach":[109],"low":[112],"complexity":[113],"robust":[116],"accurate":[118],"revealing":[122],"shape":[123],"details,":[124],"which":[125],"might":[126],"be":[127],"value":[129],"diverse":[131],"applied":[132],"fields":[133],"such":[134],"automated":[136],"biometric":[138],"monitoring":[140],"patients":[141],"affected":[143]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}