{"id":"https://openalex.org/W1488745523","doi":"https://doi.org/10.5075/epfl-thesis-4303","title":"Variational methods for texture segmentation","display_name":"Variational methods for texture segmentation","publication_year":2008,"publication_date":"2008-12-11","ids":{"openalex":"https://openalex.org/W1488745523","doi":"https://doi.org/10.5075/epfl-thesis-4303","mag":"1488745523"},"language":"en","primary_location":{"id":"pmh:oai:infoscience.tind.io:130370","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/32620","pdf_url":"http://infoscience.epfl.ch/record/130370","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"doctoral thesis"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/130370","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077884968","display_name":"Nawal Houhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Houhou, Nawal","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5077884968"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","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/T10052","display_name":"Medical Image Segmentation Techniques","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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9990000128746033,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9933000206947327,"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/vagueness","display_name":"Vagueness","score":0.667170524597168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6611150503158569},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6540305614471436},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5913506150245667},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5816496014595032},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5604713559150696},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5156656503677368},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4623625874519348},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.457388311624527},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.4296315312385559},{"id":"https://openalex.org/keywords/texture-synthesis","display_name":"Texture synthesis","score":0.41633331775665283},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3213198184967041},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.2348426878452301}],"concepts":[{"id":"https://openalex.org/C2776825360","wikidata":"https://www.wikidata.org/wiki/Q1411921","display_name":"Vagueness","level":3,"score":0.667170524597168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6611150503158569},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6540305614471436},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5913506150245667},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5816496014595032},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5604713559150696},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5156656503677368},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4623625874519348},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.457388311624527},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4296315312385559},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.41633331775665283},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3213198184967041},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.2348426878452301}],"mesh":[],"locations_count":5,"locations":[{"id":"pmh:oai:infoscience.tind.io:130370","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/32620","pdf_url":"http://infoscience.epfl.ch/record/130370","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"doctoral thesis"},{"id":"pmh:oai:doc.rero.ch:12170","is_oa":false,"landing_page_url":"http://library.epfl.ch/theses/?nr=4303","pdf_url":null,"source":{"id":"https://openalex.org/S4306400148","display_name":"reroDoc Digital Library","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:infoscience.epfl.ch:130370","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/130370","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.5075/epfl-thesis-4303","is_oa":true,"landing_page_url":"https://doi.org/10.5075/epfl-thesis-4303","pdf_url":null,"source":{"id":"https://openalex.org/S4306400488","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"thesis"},{"id":"mag:1488745523","is_oa":false,"landing_page_url":"https://infoscience.epfl.ch/record/130370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:infoscience.tind.io:130370","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/32620","pdf_url":"http://infoscience.epfl.ch/record/130370","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"doctoral thesis"},"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"},{"score":0.41999998688697815,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1488745523.pdf","grobid_xml":"https://content.openalex.org/works/W1488745523.grobid-xml"},"referenced_works_count":77,"referenced_works":["https://openalex.org/W128928916","https://openalex.org/W198953946","https://openalex.org/W1238092070","https://openalex.org/W1489458628","https://openalex.org/W1496099826","https://openalex.org/W1523554224","https://openalex.org/W1526436178","https://openalex.org/W1536200267","https://openalex.org/W1566542507","https://openalex.org/W1585385982","https://openalex.org/W1593038947","https://openalex.org/W1605887385","https://openalex.org/W1874027545","https://openalex.org/W1883695444","https://openalex.org/W1964119857","https://openalex.org/W1972885239","https://openalex.org/W1983377470","https://openalex.org/W1987579928","https://openalex.org/W1991686011","https://openalex.org/W1995714461","https://openalex.org/W1995875735","https://openalex.org/W1999360130","https://openalex.org/W2005089986","https://openalex.org/W2009967126","https://openalex.org/W2023297597","https://openalex.org/W2026356722","https://openalex.org/W2031586513","https://openalex.org/W2042226984","https://openalex.org/W2056003166","https://openalex.org/W2073098078","https://openalex.org/W2083518538","https://openalex.org/W2098152234","https://openalex.org/W2103559027","https://openalex.org/W2104028907","https://openalex.org/W2104095591","https://openalex.org/W2104404402","https://openalex.org/W2105365768","https://openalex.org/W2113137767","https://openalex.org/W2114487471","https://openalex.org/W2116040950","https://openalex.org/W2116044718","https://openalex.org/W2118020555","https://openalex.org/W2121927366","https://openalex.org/W2121947440","https://openalex.org/W2126922884","https://openalex.org/W2132055825","https://openalex.org/W2132363464","https://openalex.org/W2132603077","https://openalex.org/W2132914434","https://openalex.org/W2132984323","https://openalex.org/W2133278935","https://openalex.org/W2134839354","https://openalex.org/W2136396015","https://openalex.org/W2136504847","https://openalex.org/W2137137397","https://openalex.org/W2137955465","https://openalex.org/W2138584058","https://openalex.org/W2140178321","https://openalex.org/W2141376824","https://openalex.org/W2141787796","https://openalex.org/W2142361163","https://openalex.org/W2143516773","https://openalex.org/W2146033519","https://openalex.org/W2147427282","https://openalex.org/W2153980837","https://openalex.org/W2155343350","https://openalex.org/W2156875677","https://openalex.org/W2158270878","https://openalex.org/W2159152281","https://openalex.org/W2160140167","https://openalex.org/W2165734775","https://openalex.org/W2169551590","https://openalex.org/W2172007775","https://openalex.org/W2208153982","https://openalex.org/W2532359871","https://openalex.org/W2914396913","https://openalex.org/W3211330693"],"related_works":["https://openalex.org/W2118245743","https://openalex.org/W1931537361","https://openalex.org/W1587669286","https://openalex.org/W6426610","https://openalex.org/W1505318427","https://openalex.org/W2141627602","https://openalex.org/W3023233376","https://openalex.org/W1580705872","https://openalex.org/W2021226990","https://openalex.org/W2042298648","https://openalex.org/W2097383110","https://openalex.org/W2182745027","https://openalex.org/W2768898137","https://openalex.org/W166994494","https://openalex.org/W1595911613","https://openalex.org/W2519399706","https://openalex.org/W855274690","https://openalex.org/W1498486435","https://openalex.org/W2913159296","https://openalex.org/W907378819"],"abstract_inverted_index":{"In":[0],"the":[1,13,31,68,82,92,107,120,139,161,174,197,199,204,207,240,246,278,305,312,315,328,348,372,378,387,395,399,403,423],"last":[2],"decades,":[3],"image":[4,70,121,140,153,316,390],"production":[5],"has":[6,39],"grown":[7],"significantly.":[8],"From":[9],"digital":[10,37],"photographs":[11],"to":[12,27,65,138,176,223,226,248,253,285,318,327,421],"medical":[14],"scans,":[15],"including":[16],"satellite":[17],"images":[18,38],"and":[19,23,114,160,356,414],"video":[20,56],"films,":[21],"more":[22,24,230],"data":[25],"need":[26,67],"be":[28,177,183,261,375,408],"processed.":[29],"Consequently":[30],"number":[32],"of":[33,81,86,94,127,206,242,280,301,307,314,330,389,402],"applications":[34],"based":[35,351],"on":[36,173,352],"increased,":[40],"either":[41],"for":[42,45,49,119,187,347,426],"medicine,":[43],"research":[44],"country":[46],"planning":[47],"or":[48,55,169,192],"entertainment":[50],"business":[51],"such":[52],"as":[53],"animation":[54],"games.":[57],"All":[58],"these":[59,75,257],"areas,":[60],"although":[61,103],"very":[62],"different":[63,400],"one":[64,80,288],"another,":[66],"same":[69],"processing":[71,122],"techniques.":[72],"Among":[73],"all":[74],"techniques,":[76],"segmentation":[77,141,162,349,365,379,406,424],"is":[78,91,111,154,164,220,235,271,284,304,344,362,383],"probably":[79],"most":[83],"studied":[84],"because":[85],"its":[87],"important":[88],"role.":[89],"Segmentation":[90],"process":[93],"extracting":[95],"meaningful":[96],"objects":[97,188,193],"from":[98,296,311,386],"an":[99],"image.":[100,404],"This":[101,270,324,381,392,418],"task,":[102],"easily":[104,214],"achieved":[105],"by":[106,263,267,371,410],"human":[108,211],"visual":[109],"system,":[110],"actually":[112,384],"complex":[113],"still":[115],"a":[116,144,157,167,216,236,250,293,308,319,322,345,363,411,415],"true":[117],"challenge":[118],"community":[123],"despite":[124],"several":[125],"decades":[126],"research.":[128],"The":[129,152,210,298,341,405],"thesis":[130,303],"work":[131],"presented":[132],"in":[133,143,156,185,203,231,239,277,321,377],"this":[134,179,302],"manuscript":[135,419],"proposes":[136,420],"solutions":[137],"problem":[142,163,350,425],"well":[145],"established":[146],"mathematical":[147,232],"framework,":[148],"i.e.":[149,367],"variational":[150,416],"models.":[151],"defined":[155],"continuous":[158],"space":[159],"expressed":[165,409],"through":[166],"functional":[168],"energy":[170,180],"optimization.":[171],"Depending":[172],"object":[175],"segmented,":[178],"definition":[181,205,241],"can":[182,213,259,291],"difficult;":[184],"particular":[186],"with":[189,194],"ambiguous":[190],"borders":[191],"textures.":[195],"For":[196],"latter,":[198],"difficulty":[200,247],"lies":[201],"already":[202],"term":[208],"texture.":[209],"eye":[212],"recognize":[215],"texture,":[217],"but":[218],"it":[219,334],"quite":[221],"difficult":[222],"find":[224],"words":[225],"define":[227],"it,":[228],"even":[229],"terms.":[233],"There":[234],"deliberate":[237],"vagueness":[238],"texture":[243,281,309],"which":[244],"explains":[245],"conceptualize":[249],"model":[251],"able":[252],"describe":[254],"it.":[255],"Often":[256],"textures":[258],"neither":[260],"described":[262],"homogeneous":[264],"regions":[265],"nor":[266],"sharp":[268],"contours.":[269],"why":[272],"we":[273],"are":[274],"first":[275,299],"interested":[276],"extraction":[279],"features,":[282],"that":[283,290],"say,":[286],"finding":[287],"representation":[289,313],"discriminate":[292],"textured":[294,427],"region":[295],"another.":[297],"contribution":[300,343,361],"construction":[306],"descriptor":[310,325],"similar":[317],"surface":[320],"volume.":[323],"belongs":[326],"framework":[329],"non-supervised":[331],"segmentation,":[332],"since":[333],"will":[335,374,407],"not":[336],"require":[337],"any":[338],"user":[339,373],"interaction.":[340],"second":[342],"solution":[346],"active":[353],"contour":[354],"models":[355],"information":[357],"theory":[358],"tools.":[359],"Third":[360],"semi-supervised":[364],"model,":[366],"where":[368],"constraints":[369],"provided":[370],"integrated":[376],"framework.":[380],"processus":[382],"derived":[385],"graph":[388,393,412],"patches.":[391],"gives":[394],"connectivity":[396],"measure":[397],"between":[398],"points":[401],"partition":[413],"model.":[417],"tackle":[422],"images.":[428]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}