{"id":"https://openalex.org/W2167388493","doi":"https://doi.org/10.1109/cvpr.2010.5540079","title":"Geodesic graph cut for interactive image segmentation","display_name":"Geodesic graph cut for interactive image segmentation","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2167388493","doi":"https://doi.org/10.1109/cvpr.2010.5540079","mag":"2167388493"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2010.5540079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5540079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","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/A5110699179","display_name":"Brian Price","orcid":null},"institutions":[{"id":"https://openalex.org/I100005738","display_name":"Brigham Young University","ror":"https://ror.org/047rhhm47","country_code":"US","type":"education","lineage":["https://openalex.org/I100005738"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Brian L. Price","raw_affiliation_strings":["Brigham Young University, USA"],"affiliations":[{"raw_affiliation_string":"Brigham Young University, USA","institution_ids":["https://openalex.org/I100005738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112290329","display_name":"Bryan S. Morse","orcid":null},"institutions":[{"id":"https://openalex.org/I100005738","display_name":"Brigham Young University","ror":"https://ror.org/047rhhm47","country_code":"US","type":"education","lineage":["https://openalex.org/I100005738"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bryan Morse","raw_affiliation_strings":["Brigham Young University, USA"],"affiliations":[{"raw_affiliation_string":"Brigham Young University, USA","institution_ids":["https://openalex.org/I100005738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055156362","display_name":"Scott Cohen","orcid":"https://orcid.org/0000-0002-3459-6899"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott Cohen","raw_affiliation_strings":["Adobe Systems, Inc., USA"],"affiliations":[{"raw_affiliation_string":"Adobe Systems, Inc., USA","institution_ids":["https://openalex.org/I1306409833"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110699179"],"corresponding_institution_ids":["https://openalex.org/I100005738"],"apc_list":null,"apc_paid":null,"fwci":12.2844,"has_fulltext":false,"cited_by_count":187,"citation_normalized_percentile":{"value":0.99007957,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3161","last_page":"3168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9994000196456909,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9993000030517578,"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/geodesic","display_name":"Geodesic","score":0.8618162870407104},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7006921768188477},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6695743799209595},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.6541979908943176},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6320561766624451},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6298706531524658},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6144976615905762},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5678747892379761},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45400097966194153},{"id":"https://openalex.org/keywords/optimal-distinctiveness-theory","display_name":"Optimal distinctiveness theory","score":0.45361781120300293},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.45084384083747864},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36492055654525757},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33384525775909424},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11363190412521362}],"concepts":[{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.8618162870407104},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7006921768188477},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6695743799209595},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.6541979908943176},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6320561766624451},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6298706531524658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6144976615905762},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5678747892379761},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45400097966194153},{"id":"https://openalex.org/C47385372","wikidata":"https://www.wikidata.org/wiki/Q7098943","display_name":"Optimal distinctiveness theory","level":2,"score":0.45361781120300293},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.45084384083747864},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36492055654525757},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33384525775909424},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11363190412521362},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2010.5540079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5540079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarsarchive.byu.edu:facpub-1097","is_oa":false,"landing_page_url":"https://scholarsarchive.byu.edu/facpub/98","pdf_url":null,"source":{"id":"https://openalex.org/S4377196308","display_name":"ScholarsArchive  (Brigham Young University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I100005738","host_organization_name":"Brigham Young University","host_organization_lineage":["https://openalex.org/I100005738"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Publications","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.208.9267","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.208.9267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://rivit.cs.byu.edu/~bprice/GeodesicGraphCut.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W136124324","https://openalex.org/W1520618001","https://openalex.org/W1785730614","https://openalex.org/W1995714461","https://openalex.org/W2035509863","https://openalex.org/W2073895861","https://openalex.org/W2076640017","https://openalex.org/W2083277843","https://openalex.org/W2097998671","https://openalex.org/W2102354443","https://openalex.org/W2104095591","https://openalex.org/W2106569125","https://openalex.org/W2113137767","https://openalex.org/W2114816128","https://openalex.org/W2117435890","https://openalex.org/W2119300483","https://openalex.org/W2124351162","https://openalex.org/W2125637308","https://openalex.org/W2134002877","https://openalex.org/W2134839354","https://openalex.org/W2140000690","https://openalex.org/W2147899407","https://openalex.org/W2150430720","https://openalex.org/W2162310225","https://openalex.org/W2163096274","https://openalex.org/W2164556573","https://openalex.org/W2169499040","https://openalex.org/W2169551590","https://openalex.org/W2171187077","https://openalex.org/W2294819727","https://openalex.org/W2294854402","https://openalex.org/W2362808110","https://openalex.org/W2533218643","https://openalex.org/W2540861673","https://openalex.org/W3147191706","https://openalex.org/W4212931420","https://openalex.org/W4234235766","https://openalex.org/W6605575789","https://openalex.org/W6630920124","https://openalex.org/W6675770446","https://openalex.org/W6677945368","https://openalex.org/W6683729065"],"related_works":["https://openalex.org/W4225552138","https://openalex.org/W2032875729","https://openalex.org/W3046185751","https://openalex.org/W2021544484","https://openalex.org/W2032319136","https://openalex.org/W2109407305","https://openalex.org/W1582388844","https://openalex.org/W2897997384","https://openalex.org/W2088651901","https://openalex.org/W1544828638"],"abstract_inverted_index":{"Interactive":[0],"segmentation":[1,32,198],"is":[2,169],"useful":[3],"for":[4,89,146,159],"selecting":[5],"objects":[6],"of":[7,17,38,61,105,116,125,206],"interest":[8],"in":[9,53,64,96,148],"images":[10],"and":[11,130,186,200],"continues":[12],"to":[13,49,56,72,121,155,172,183,196],"be":[14],"a":[15,87,97,109,138],"topic":[16],"much":[18],"study.":[19],"Methods":[20],"that":[21,142],"grow":[22],"regions":[23],"from":[24],"foreground/background":[25,118],"seeds,":[26,51],"such":[27],"as":[28],"the":[29,35,50,102,114,117,123,126,132,144,156,204,207],"recent":[30],"geodesic":[31,65,127,192],"approach,":[33],"avoid":[34],"boundary-length":[36],"bias":[37,45],"graph-cut":[39,80],"methods":[40,81,178],"but":[41],"have":[42],"their":[43,70],"own":[44],"towards":[46],"minimizing":[47],"paths":[48],"resulting":[52],"increased":[54,197],"sensitivity":[55],"seed":[57,184],"placement.":[58],"The":[59],"lack":[60],"edge":[62,94,157,189],"modeling":[63],"or":[66],"similar":[67],"approaches":[68],"limits":[69],"ability":[71],"precisely":[73],"localize":[74],"object":[75,149,163],"boundaries,":[76],"something":[77],"at":[78,188],"which":[79],"generally":[82],"excel.":[83],"This":[84,194],"paper":[85],"presents":[86],"method":[88,168],"combining":[90],"geodesic-distance":[91],"information":[92,95],"with":[93],"graphcut":[98],"optimization":[99],"framework,":[100],"leveraging":[101],"complementary":[103],"strengths":[104],"each.":[106],"Rather":[107],"than":[108,174,191],"fixed":[110],"combination":[111],"we":[112],"use":[113],"distinctiveness":[115],"color":[119],"models":[120],"predict":[122],"effectiveness":[124],"distance":[128],"term":[129,158],"adjust":[131],"weighting":[133,141],"accordingly.":[134],"We":[135],"also":[136],"introduce":[137],"spatially":[139],"varying":[140],"decreases":[143],"potential":[145],"shortcutting":[147,173],"interiors":[150],"while":[151,179],"transferring":[152],"greater":[153],"control":[154],"better":[160,187],"localization":[161,190],"near":[162],"boundaries.":[164],"Results":[165],"show":[166],"our":[167],"less":[170,181],"prone":[171],"typical":[175],"graph":[176],"cut":[177],"being":[180],"sensitive":[182],"placement":[185],"methods.":[193],"leads":[195],"accuracy":[199],"reduced":[201],"effort":[202],"on":[203],"part":[205],"user.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":20},{"year":2015,"cited_by_count":26},{"year":2014,"cited_by_count":17},{"year":2013,"cited_by_count":14},{"year":2012,"cited_by_count":13}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
