{"id":"https://openalex.org/W2030690090","doi":"https://doi.org/10.1109/icip.2011.6116333","title":"Harmonic active contours for multichannel image segmentation","display_name":"Harmonic active contours for multichannel image segmentation","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2030690090","doi":"https://doi.org/10.1109/icip.2011.6116333","mag":"2030690090"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2011.6116333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://infoscience.epfl.ch/handle/20.500.14299/66576","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026933333","display_name":"Virginia Estellers","orcid":null},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Virginia Estellers","raw_affiliation_strings":["Signal Processing Laboratory (LTS5), \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Switzerland","Signal Processing Laboratory (LTS5)Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne Switzerland"],"affiliations":[{"raw_affiliation_string":"Signal Processing Laboratory (LTS5), \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"Signal Processing Laboratory (LTS5)Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074775708","display_name":"Dominique Zosso","orcid":"https://orcid.org/0000-0001-5685-4273"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Dominique Zosso","raw_affiliation_strings":["Signal Processing Laboratory (LTS5), \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Switzerland","Signal Processing Laboratory (LTS5)Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne Switzerland"],"affiliations":[{"raw_affiliation_string":"Signal Processing Laboratory (LTS5), \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"Signal Processing Laboratory (LTS5)Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031210396","display_name":"Xavier Bresson","orcid":"https://orcid.org/0000-0002-7109-461X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xavier Bresson","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong, China","Department of Computer Science, City University of Hong Kong, Hong Kong SAR"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong SAR","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067782007","display_name":"Jean\u2010Philippe Thiran","orcid":"https://orcid.org/0000-0003-2938-9657"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Jean-Philippe Thiran","raw_affiliation_strings":["Signal Processing Laboratory (LTS5), \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Switzerland","Signal Processing Laboratory (LTS5)Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne Switzerland"],"affiliations":[{"raw_affiliation_string":"Signal Processing Laboratory (LTS5), \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"Signal Processing Laboratory (LTS5)Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026933333"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":0.76741199,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74386009,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"39","issue":null,"first_page":"3141","last_page":"3144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9970999956130981,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7414075136184692},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.693810760974884},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.6576771140098572},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6254052519798279},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6110696792602539},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6105620861053467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5781353712081909},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4742649793624878},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.46537894010543823},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.462402880191803},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.42553040385246277},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.41733062267303467},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38731029629707336},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.353424072265625},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2394634485244751},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07252451777458191}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7414075136184692},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.693810760974884},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.6576771140098572},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6254052519798279},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6110696792602539},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6105620861053467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5781353712081909},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4742649793624878},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.46537894010543823},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.462402880191803},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.42553040385246277},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.41733062267303467},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38731029629707336},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.353424072265625},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2394634485244751},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07252451777458191},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2011.6116333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.tind.io:165180","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/66576","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference proceedings"}],"best_oa_location":{"id":"pmh:oai:infoscience.tind.io:165180","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/66576","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference proceedings"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1571699948","https://openalex.org/W2104404402","https://openalex.org/W2116040950","https://openalex.org/W2122184585","https://openalex.org/W2130377595","https://openalex.org/W2165893502","https://openalex.org/W2235771640","https://openalex.org/W3011413250","https://openalex.org/W3211330693","https://openalex.org/W6677607857"],"related_works":["https://openalex.org/W2368150111","https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2098360446","https://openalex.org/W2945274617","https://openalex.org/W2372421320","https://openalex.org/W1981799498","https://openalex.org/W2373659438","https://openalex.org/W2380607399","https://openalex.org/W4313052709"],"abstract_inverted_index":{"We":[0,122],"propose":[1],"a":[2,16,39,58,99],"segmentation":[3,25,90,126,142],"method":[4],"based":[5,27],"on":[6,28],"the":[7,34,51,63,84,89,92,104,111,125],"geometric":[8,100],"representation":[9],"of":[10,41,50,65,83,97,107],"images":[11,137],"as":[12],"surfaces":[13],"embedded":[14,32],"in":[15,33,103],"higher":[17],"dimensional":[18],"space,":[19],"handling":[20],"naturally":[21],"multichannel":[22,136],"images.":[23,121,149],"The":[24,95],"is":[26,74],"an":[29,133],"active":[30,52],"contour":[31,53],"image":[35,42,93],"manifold,":[36],"along":[37],"with":[38],"set":[40],"features.":[43],"Hence,":[44],"both":[45],"data-fidelity":[46],"and":[47,77,140,144],"regularity":[48],"terms":[49],"are":[54],"jointly":[55],"optimized":[56],"minimizing":[57],"single":[59],"Polaykov":[60],"energy":[61,85],"representing":[62],"hyper-surface":[64],"this":[66],"manifold.":[67],"Compared":[68],"to":[69,87,91,147],"previous":[70],"methods,":[71,116],"our":[72],"approach":[73,101],"purely":[75],"geometrical":[76],"does":[78],"not":[79],"require":[80],"additional":[81],"weighting":[82],"functional":[86],"drive":[88],"contours.":[94],"potential":[96],"such":[98],"lies":[102],"general":[105],"definition":[106],"Riemannian":[108],"manifolds,":[109],"validating":[110],"proposed":[112],"technique":[113,127],"for":[114,135],"scale-space":[115],"volumetric":[117],"data":[118],"or":[119],"catadioptric":[120],"present":[123],"here":[124],"called":[128],"Harmonic":[129],"Active":[130],"Contours,":[131],"give":[132],"implementation":[134],"including":[138],"gradient":[139],"region-based":[141],"criteria":[143],"apply":[145],"it":[146],"color":[148]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
