{"id":"https://openalex.org/W2018777013","doi":"https://doi.org/10.1117/1.1556313","title":"Active surface model-based adaptive thresholding algorithm by repulsive external force","display_name":"Active surface model-based adaptive thresholding algorithm by repulsive external force","publication_year":2003,"publication_date":"2003-04-01","ids":{"openalex":"https://openalex.org/W2018777013","doi":"https://doi.org/10.1117/1.1556313","mag":"2018777013"},"language":"en","primary_location":{"id":"doi:10.1117/1.1556313","doi":"https://doi.org/10.1117/1.1556313","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.1556313","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,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","norway-1","poland-40","russia-white-list-2","vabb-shw"],"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"},"volume":null,"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/A5115602473","display_name":"Fei Liu","orcid":"https://orcid.org/0000-0001-8181-7730","observed_orcids":["https://orcid.org/0000-0001-8181-7730"]},"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":false,"raw_author_name":"Fei Liu","raw_affiliation_strings":["Tsinghua Univ","#N##TAB##TAB##TAB##TAB# Tsinghua University, China#N##TAB##TAB##TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Univ","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"#N##TAB##TAB##TAB##TAB# Tsinghua University, China#N##TAB##TAB##TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113653028","display_name":"Yupin Luo","orcid":null,"observed_orcids":[]},"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":false,"raw_author_name":"Yupin Luo","raw_affiliation_strings":["Tsinghua Univ","#N##TAB##TAB##TAB##TAB# Tsinghua University, China#N##TAB##TAB##TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Univ","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"#N##TAB##TAB##TAB##TAB# Tsinghua University, China#N##TAB##TAB##TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068859695","display_name":"Xiaodan Song","orcid":null,"observed_orcids":[]},"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":false,"raw_author_name":"Xiaodan Song","raw_affiliation_strings":["Tsinghua Univ","#N##TAB##TAB##TAB##TAB# Tsinghua University, China#N##TAB##TAB##TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Univ","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"#N##TAB##TAB##TAB##TAB# Tsinghua University, China#N##TAB##TAB##TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113720433","display_name":"Dongcheng Hu","orcid":null,"observed_orcids":[]},"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":false,"raw_author_name":"Dongcheng Hu","raw_affiliation_strings":["Tsinghua Univ","#N##TAB##TAB##TAB##TAB# Tsinghua University, China#N##TAB##TAB##TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Univ","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"#N##TAB##TAB##TAB##TAB# Tsinghua University, China#N##TAB##TAB##TAB#","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.7238,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.78301532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"12","issue":"02","first_page":"299","last_page":"306"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9570000171661377,"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":0.9570000171661377,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.00570000009611249,"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/T11019","display_name":"Image Enhancement Techniques","score":0.005400000140070915,"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/active-surface-model","display_name":"active surface model","score":0.7699999809265137},{"id":"https://openalex.org/keywords/adaptive-thresholding","display_name":"adaptive thresholding","score":0.9869999885559082},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"image segmentation","score":0.8080000281333923},{"id":"https://openalex.org/keywords/thresholding-algorithm","display_name":"threshold algorithm","score":0.45899999141693115}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6801369190216064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6100313067436218},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5016167163848877},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.46798014640808105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31289345026016235},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19132736325263977},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10067033767700195},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/1.1556313","doi":"https://doi.org/10.1117/1.1556313","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.1556313","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,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","norway-1","poland-40","russia-white-list-2","vabb-shw"],"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":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1966411054","https://openalex.org/W1970800786","https://openalex.org/W1982064072","https://openalex.org/W1991955350","https://openalex.org/W2035897321","https://openalex.org/W2056250040","https://openalex.org/W2096832794","https://openalex.org/W2104095591","https://openalex.org/W2106592804","https://openalex.org/W2113918006","https://openalex.org/W2118891573","https://openalex.org/W2148539800","https://openalex.org/W2155619922","https://openalex.org/W2167253865","https://openalex.org/W2171443096","https://openalex.org/W4388292706"],"related_works":["https://openalex.org/W1991955350","https://openalex.org/W1878344077","https://openalex.org/W1967612342","https://openalex.org/W1975726413","https://openalex.org/W7096261743","https://openalex.org/W2082879096","https://openalex.org/W1483903133","https://openalex.org/W1975409432","https://openalex.org/W2167253865","https://openalex.org/W7010103348"],"abstract_inverted_index":{"Inspired":[0],"by":[1],"the":[2,9,26,32,41,46,49,55,70,76,82,89,113,119,128,135,138],"idea":[3],"that":[4,123],"threshold":[5,78],"surface":[6,11,51,72,79],"always":[7],"intersects":[8],"image":[10,42,71],"at":[12,45],"high":[13,59],"gradient":[14,60],"points,":[15],"an":[16],"active":[17,50],"surface-based":[18],"adaptive":[19],"thresholding":[20,130],"algorithm":[21,90],"is":[22,35,91],"proposed":[23],"to":[24,37,53,105,112],"get":[25],"binarized":[27],"result.":[28],"In":[29],"this":[30],"model,":[31],"external":[33],"force":[34],"designed":[36],"be":[38,67,106],"repulsive":[39],"from":[40,69],"surface,":[43],"thus":[44],"equilibrium":[47],"state":[48],"tends":[52],"cover":[54],"supporting":[56],"points":[57],"of":[58,88,137],"with":[61],"smooth":[62],"property,":[63],"as":[64,66],"well":[65],"away":[68],"locally,":[73],"which":[74,108],"makes":[75],"obtained":[77],"properly":[80],"separate":[81],"foreground":[83],"and":[84,95,100,116],"background.":[85],"The":[86],"description":[87],"in":[92],"a":[93],"simple":[94],"reasonable":[96],"energy":[97],"functional":[98],"form,":[99],"only":[101,126],"two":[102],"parameters":[103],"need":[104],"tuned,":[107],"gives":[109],"more":[110],"convenience":[111],"operation.":[114],"Analysis":[115],"comparison":[117],"for":[118],"experimental":[120],"results":[121],"reveal":[122],"it":[124],"cannot":[125],"give":[127],"proper":[129],"result":[131],"but":[132],"also":[133],"restrain":[134],"occurrence":[136],"ghost":[139],"phenomenon.":[140]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-29T09:56:32.521200","created_date":"2016-06-24T00:00:00"}