{"id":"https://openalex.org/W2566713017","doi":"https://doi.org/10.1109/icip.2016.7532561","title":"Multilevel affinity graph for unsupervised image segmentation","display_name":"Multilevel affinity graph for unsupervised image segmentation","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2566713017","doi":"https://doi.org/10.1109/icip.2016.7532561","mag":"2566713017"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5100413602","display_name":"Ang Li","orcid":"https://orcid.org/0000-0002-2316-4118"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Ang Li","raw_affiliation_strings":["The Institute of Biomedical Engineering and Technology, The University of Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"The Institute of Biomedical Engineering and Technology, The University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046614213","display_name":"Xiuying Wang","orcid":"https://orcid.org/0000-0001-7160-5929"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiuying Wang","raw_affiliation_strings":["The Institute of Biomedical Engineering and Technology, The University of Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"The Institute of Biomedical Engineering and Technology, The University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101967244","display_name":"Ke Yan","orcid":"https://orcid.org/0000-0001-9314-7359"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ke Yan","raw_affiliation_strings":["The Institute of Biomedical Engineering and Technology, The University of Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"The Institute of Biomedical Engineering and Technology, The University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101569537","display_name":"Changyang Li","orcid":"https://orcid.org/0000-0002-8762-4881"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Changyang Li","raw_affiliation_strings":["The Institute of Biomedical Engineering and Technology, The University of Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"The Institute of Biomedical Engineering and Technology, The University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068891693","display_name":"Dagan Feng","orcid":"https://orcid.org/0000-0002-3381-214X"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dagan Feng","raw_affiliation_strings":["The Institute of Biomedical Engineering and Technology, The University of Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"The Institute of Biomedical Engineering and Technology, The University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100413602"],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":0.668,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78250289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1264","last_page":"1268"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980000257492065,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980000257492065,"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":0.9976999759674072,"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":0.9958999752998352,"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/segmentation","display_name":"Segmentation","score":0.7098469734191895},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6521994471549988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6302694082260132},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6296436190605164},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6142351627349854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6043345928192139},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5925542116165161},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.4196702539920807},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.41840726137161255},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2732030749320984},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1573306918144226},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07278966903686523}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7098469734191895},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6521994471549988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6302694082260132},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6296436190605164},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6142351627349854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6043345928192139},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5925542116165161},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.4196702539920807},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.41840726137161255},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2732030749320984},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1573306918144226},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07278966903686523}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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":20,"referenced_works":["https://openalex.org/W1999478155","https://openalex.org/W2010975286","https://openalex.org/W2014686685","https://openalex.org/W2027645416","https://openalex.org/W2067191022","https://openalex.org/W2071469153","https://openalex.org/W2075760200","https://openalex.org/W2086374833","https://openalex.org/W2097323414","https://openalex.org/W2103380420","https://openalex.org/W2110158442","https://openalex.org/W2115193009","https://openalex.org/W2116373927","https://openalex.org/W2118246710","https://openalex.org/W2121947440","https://openalex.org/W2125637308","https://openalex.org/W2154455818","https://openalex.org/W2293105860","https://openalex.org/W6653423199","https://openalex.org/W6682494755"],"related_works":["https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2073639911","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Unsupervised":[0],"segmentation":[1,22],"and":[2,34,63,91],"contour":[3],"detection":[4],"remains":[5],"a":[6,45],"challenging":[7],"task.":[8],"In":[9,40],"graph-based":[10,25],"unsupervised":[11,117],"segmentation,":[12],"the":[13,16,53,58,71,81,100,109],"formulation":[14],"of":[15,67,88,96],"affinity":[17,49,54,82],"graph":[18,32,50,83],"is":[19,76],"pivotal":[20],"to":[21,85,114],"performance.":[23],"Conventional":[24],"approaches":[26],"often":[27],"only":[28],"define":[29],"pixels":[30],"as":[31],"nodes,":[33],"may":[35],"overlook":[36],"important":[37],"regional":[38,73],"information.":[39],"this":[41],"paper,":[42],"we":[43],"propose":[44],"novel":[46],"scheme":[47],"for":[48,122],"construction,":[51],"where":[52],"weight":[55],"matrix":[56],"unifies":[57],"association":[59],"across":[60],"pixel-wise":[61],"nodes":[62,66],"multilevel":[64,72],"region-wise":[65],"different":[68],"scales.":[69],"Integrating":[70],"information,":[74],"which":[75],"formulated":[77],"using":[78],"superpixels,":[79],"into":[80],"contributes":[84],"better":[86],"capture":[87],"image":[89],"intensity":[90],"color":[92],"cues.":[93],"Experimental":[94],"evaluation":[95],"our":[97,105],"approach":[98],"on":[99],"BSDS500":[101],"dataset":[102],"showed":[103],"that":[104],"proposed":[106],"method":[107],"achieved":[108],"second":[110],"best":[111],"performance":[112],"compared":[113],"other":[115],"nine":[116],"state-of-art":[118],"methods":[119],"commonly":[120],"used":[121],"comparison.":[123]},"counts_by_year":[{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
