{"id":"https://openalex.org/W2167152522","doi":"https://doi.org/10.1109/icip.2007.4378937","title":"Foveal Wavelet-Based Color Active Contour","display_name":"Foveal Wavelet-Based Color Active Contour","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2167152522","doi":"https://doi.org/10.1109/icip.2007.4378937","mag":"2167152522"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2007.4378937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4378937","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","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/A5061069540","display_name":"Aldo Maalouf","orcid":null},"institutions":[{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Aldo Maalouf","raw_affiliation_strings":["Signal-Image-Communication Laboratory, SP2MI-2 Bd Marie et Pierre Curie, University of Poitiers, Chasseneuil, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal-Image-Communication Laboratory, SP2MI-2 Bd Marie et Pierre Curie, University of Poitiers, Chasseneuil, France","institution_ids":["https://openalex.org/I32881790"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068169565","display_name":"Philippe Carr\u00e9","orcid":"https://orcid.org/0000-0001-8743-3957"},"institutions":[{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Philippe Carre","raw_affiliation_strings":["Signal-Image-Communication Laboratory, SP2MI-2 Bd Marie et Pierre Curie, University of Poitiers, Chasseneuil, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal-Image-Communication Laboratory, SP2MI-2 Bd Marie et Pierre Curie, University of Poitiers, Chasseneuil, France","institution_ids":["https://openalex.org/I32881790"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088714423","display_name":"Bertrand Augereau","orcid":null},"institutions":[{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bertrand Augereau","raw_affiliation_strings":["Signal-Image-Communication Laboratory, SP2MI-2 Bd Marie et Pierre Curie, University of Poitiers, Chasseneuil, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal-Image-Communication Laboratory, SP2MI-2 Bd Marie et Pierre Curie, University of Poitiers, Chasseneuil, France","institution_ids":["https://openalex.org/I32881790"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113834159","display_name":"Christine Fern\u00e1ndez-Maloigne","orcid":null},"institutions":[{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christine Fernandez-Maloigne","raw_affiliation_strings":["Signal-Image-Communication Laboratory, SP2MI-2 Bd Marie et Pierre Curie, University of Poitiers, Chasseneuil, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal-Image-Communication Laboratory, SP2MI-2 Bd Marie et Pierre Curie, University of Poitiers, Chasseneuil, France","institution_ids":["https://openalex.org/I32881790"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.18054445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"I ","last_page":" 245"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9980999827384949,"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/foveal","display_name":"Foveal","score":0.86599200963974},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6861491203308105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6773158311843872},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.6653317809104919},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6508401036262512},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5203525424003601},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4556541442871094},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4419679343700409},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.397844523191452},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34876102209091187},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33691608905792236},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3281506896018982}],"concepts":[{"id":"https://openalex.org/C30181142","wikidata":"https://www.wikidata.org/wiki/Q865103","display_name":"Foveal","level":3,"score":0.86599200963974},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6861491203308105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6773158311843872},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.6653317809104919},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6508401036262512},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5203525424003601},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4556541442871094},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4419679343700409},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.397844523191452},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34876102209091187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33691608905792236},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3281506896018982},{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2007.4378937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4378937","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-00346392v1","is_oa":false,"landing_page_url":"https://hal.science/hal-00346392","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Image Processing (ICIP2007), 2007, San Antonio, United States. pp.23-30","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W123119966","https://openalex.org/W2076640017","https://openalex.org/W2086921140","https://openalex.org/W2104095591","https://openalex.org/W2106160885","https://openalex.org/W2121494337","https://openalex.org/W2132663727","https://openalex.org/W2145803225","https://openalex.org/W2147469781","https://openalex.org/W2914396913","https://openalex.org/W4285719527","https://openalex.org/W6605066396","https://openalex.org/W6675878783","https://openalex.org/W6681640588","https://openalex.org/W6758786423"],"related_works":["https://openalex.org/W4392163599","https://openalex.org/W2283340763","https://openalex.org/W3097691005","https://openalex.org/W4244194911","https://openalex.org/W2095328482","https://openalex.org/W3170699495","https://openalex.org/W1522196789","https://openalex.org/W2885157826","https://openalex.org/W2159463658","https://openalex.org/W4388208420"],"abstract_inverted_index":{"A":[0],"framework":[1],"for":[2,40],"active":[3,17,116],"contour":[4,18,117],"segmentation":[5,22],"in":[6,126],"vector-valued":[7],"images":[8],"is":[9,12,19,26],"presented.":[10],"It":[11],"known":[13,59],"that":[14],"the":[15,45,49,67,90,96,100,104,109,114,129],"standard":[16],"a":[20],"powerful":[21],"method,":[23],"yet":[24],"it":[25],"susceptible":[27],"to":[28,64,94,99,113],"weak":[29],"edges":[30,46],"and":[31,78,123],"image":[32,73],"noise.":[33,83],"The":[34,51],"proposed":[35,115],"scheme":[36],"uses":[37],"foveal":[38,52],"wavelets":[39,53],"an":[41],"accurate":[42],"detection":[43],"of":[44,48,70,103,128,131],"singularities":[47],"image.":[50],"introduced":[54],"by":[55,60],"Mallat":[56],"(2000)":[57],"are":[58,75,79,87],"their":[61],"high":[62],"capability":[63],"precisely":[65],"characterize":[66],"holder":[68],"regularity":[69],"singularities.":[71],"Therefore,":[72],"contours":[74],"accurately":[76],"localized":[77],"well":[80],"discriminated":[81],"from":[82],"Foveal":[84],"wavelet":[85],"coefficients":[86],"updated":[88],"using":[89],"gradient":[91],"descent":[92],"algorithm":[93],"guide":[95],"snake":[97,135],"deformation":[98],"true":[101],"boundaries":[102],"objects":[105],"being":[106],"segmented.":[107],"Thus,":[108],"curve":[110],"flow":[111],"corresponding":[112],"holds":[118],"formal":[119],"existence,":[120],"uniqueness,":[121],"stability":[122],"correctness":[124],"results":[125],"spite":[127],"presence":[130],"noise":[132],"where":[133],"traditional":[134],"approach":[136],"may":[137],"fail.":[138]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}