{"id":"https://openalex.org/W2405026576","doi":"https://doi.org/10.1109/wacv.2016.7477572","title":"Active contours for selective object segmentation","display_name":"Active contours for selective object segmentation","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2405026576","doi":"https://doi.org/10.1109/wacv.2016.7477572","mag":"2405026576"},"language":"en","primary_location":{"id":"doi:10.1109/wacv.2016.7477572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2016.7477572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Winter Conference on Applications of Computer Vision (WACV)","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/A5061253974","display_name":"Jozsef Moinar","orcid":null},"institutions":[{"id":"https://openalex.org/I7597260","display_name":"Hungarian Academy of Sciences","ror":"https://ror.org/02ks8qq67","country_code":"HU","type":"funder","lineage":["https://openalex.org/I7597260"]},{"id":"https://openalex.org/I2800351701","display_name":"HUN-REN Szegedi Biol\u00f3giai Kutat\u00f3k\u00f6zpont","ror":"https://ror.org/016gb1631","country_code":"HU","type":"facility","lineage":["https://openalex.org/I2800351701","https://openalex.org/I7597260"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Jozsef Moinar","raw_affiliation_strings":["Synthetic and Systems Biology Unit, Hungarian Academy of Sciences, BRC, Szeged, Hungary"],"affiliations":[{"raw_affiliation_string":"Synthetic and Systems Biology Unit, Hungarian Academy of Sciences, BRC, Szeged, Hungary","institution_ids":["https://openalex.org/I2800351701","https://openalex.org/I7597260"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110690086","display_name":"\u00c1d\u00e1m Istv\u00e1n Sz\u0171cs","orcid":null},"institutions":[{"id":"https://openalex.org/I7597260","display_name":"Hungarian Academy of Sciences","ror":"https://ror.org/02ks8qq67","country_code":"HU","type":"funder","lineage":["https://openalex.org/I7597260"]},{"id":"https://openalex.org/I2800351701","display_name":"HUN-REN Szegedi Biol\u00f3giai Kutat\u00f3k\u00f6zpont","ror":"https://ror.org/016gb1631","country_code":"HU","type":"facility","lineage":["https://openalex.org/I2800351701","https://openalex.org/I7597260"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Adam Istvan Szucs","raw_affiliation_strings":["Synthetic and Systems Biology Unit, Hungarian Academy of Sciences, Szeged, Hungary"],"affiliations":[{"raw_affiliation_string":"Synthetic and Systems Biology Unit, Hungarian Academy of Sciences, Szeged, Hungary","institution_ids":["https://openalex.org/I2800351701","https://openalex.org/I7597260"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021390247","display_name":"Csaba Moln\u00e1r","orcid":"https://orcid.org/0000-0002-6124-1209"},"institutions":[{"id":"https://openalex.org/I7597260","display_name":"Hungarian Academy of Sciences","ror":"https://ror.org/02ks8qq67","country_code":"HU","type":"funder","lineage":["https://openalex.org/I7597260"]},{"id":"https://openalex.org/I2800351701","display_name":"HUN-REN Szegedi Biol\u00f3giai Kutat\u00f3k\u00f6zpont","ror":"https://ror.org/016gb1631","country_code":"HU","type":"facility","lineage":["https://openalex.org/I2800351701","https://openalex.org/I7597260"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Csaba Molnar","raw_affiliation_strings":["Synthetic and Systems Biology Unit, Hungarian Academy of Sciences, Szeged, Hungary"],"affiliations":[{"raw_affiliation_string":"Synthetic and Systems Biology Unit, Hungarian Academy of Sciences, Szeged, Hungary","institution_ids":["https://openalex.org/I2800351701","https://openalex.org/I7597260"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056154163","display_name":"P\u00e9ter Horv\u00e1th","orcid":"https://orcid.org/0000-0002-4492-1798"},"institutions":[{"id":"https://openalex.org/I2800351701","display_name":"HUN-REN Szegedi Biol\u00f3giai Kutat\u00f3k\u00f6zpont","ror":"https://ror.org/016gb1631","country_code":"HU","type":"facility","lineage":["https://openalex.org/I2800351701","https://openalex.org/I7597260"]},{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]},{"id":"https://openalex.org/I4210133586","display_name":"Institute for Molecular Medicine Finland","ror":"https://ror.org/030sbze61","country_code":"FI","type":"facility","lineage":["https://openalex.org/I133731052","https://openalex.org/I4210133586"]},{"id":"https://openalex.org/I7597260","display_name":"Hungarian Academy of Sciences","ror":"https://ror.org/02ks8qq67","country_code":"HU","type":"funder","lineage":["https://openalex.org/I7597260"]}],"countries":["FI","HU"],"is_corresponding":false,"raw_author_name":"Peter Horvath","raw_affiliation_strings":["Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland","Synthetic and Systems Biology Unit, Hungarian Academy of Sciences, Szeged, Hungary"],"affiliations":[{"raw_affiliation_string":"Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I4210133586","https://openalex.org/I133731052"]},{"raw_affiliation_string":"Synthetic and Systems Biology Unit, Hungarian Academy of Sciences, Szeged, Hungary","institution_ids":["https://openalex.org/I2800351701","https://openalex.org/I7597260"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061253974"],"corresponding_institution_ids":["https://openalex.org/I2800351701","https://openalex.org/I7597260"],"apc_list":null,"apc_paid":null,"fwci":2.4104,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90657895,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"17","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9947999715805054,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9878000020980835,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7719274759292603},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7428464293479919},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.722407877445221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6797218322753906},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5800145268440247},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.5656099319458008},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5581141710281372},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5048156380653381},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4839473068714142},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4541042745113373},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.4381648302078247}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7719274759292603},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7428464293479919},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.722407877445221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6797218322753906},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5800145268440247},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.5656099319458008},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5581141710281372},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5048156380653381},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4839473068714142},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4541042745113373},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.4381648302078247}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv.2016.7477572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2016.7477572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1541134818","https://openalex.org/W1558012644","https://openalex.org/W1580269359","https://openalex.org/W1979363725","https://openalex.org/W2020999234","https://openalex.org/W2093834886","https://openalex.org/W2101964514","https://openalex.org/W2104095591","https://openalex.org/W2104298486","https://openalex.org/W2105392152","https://openalex.org/W2108556791","https://openalex.org/W2114487471","https://openalex.org/W2115664739","https://openalex.org/W2120134541","https://openalex.org/W2120977599","https://openalex.org/W2139478903","https://openalex.org/W3211330693","https://openalex.org/W4231627457"],"related_works":["https://openalex.org/W2063312490","https://openalex.org/W102157910","https://openalex.org/W1491976205","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2333568777","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W1861675581"],"abstract_inverted_index":{"Selective":[0],"object":[1],"segmentation":[2],"is":[3,80,93],"a":[4,30,102],"difficult,":[5],"but":[6],"often":[7],"required":[8],"image":[9],"analysis":[10],"task":[11],"which":[12],"has":[13],"numerous":[14],"applications":[15],"in":[16,21],"various":[17],"fields":[18],"such":[19],"as":[20],"biology,":[22],"satellite":[23],"imaging":[24],"or":[25],"video":[26],"surveillance.":[27],"We":[28],"present":[29],"family":[31],"of":[32,49,58,66,86,104,113],"active":[33],"contours":[34],"designed":[35],"to":[36],"segment":[37],"objects":[38,67,115],"with":[39,73],"predefined":[40],"size":[41,70,118],"and":[42,51,53,71,97,119],"simple":[43],"shape":[44,72],"characteristics":[45],"using":[46],"the":[47,54,59,87],"ratio":[48],"area":[50],"perimeter,":[52],"second":[55],"central":[56],"moment":[57],"contour.":[60],"These":[61],"priors":[62],"allow":[63],"targeted":[64],"selection":[65],"by":[68,116],"their":[69,117],"certain":[74],"flexibility.":[75],"A":[76],"novel":[77],"data":[78],"model":[79],"introduced":[81],"based":[82],"on":[83,95],"local":[84],"regions":[85],"contour":[88],"points.":[89],"The":[90,109],"proposed":[91],"methodology":[92],"tested":[94],"synthetic":[96],"fluorescent":[98],"microscopic":[99],"images":[100],"containing":[101],"mixture":[103],"genetically":[105],"modified":[106],"bacterial":[107],"populations.":[108],"method":[110],"was":[111],"capable":[112],"selecting":[114],"shape.":[120]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}