{"id":"https://openalex.org/W1545287889","doi":"https://doi.org/10.1007/978-3-540-45063-4_24","title":"Definition of a Signal-to-Noise Ratio for Object Segmentation Using Polygonal MDL-Based Statistical Snakes","display_name":"Definition of a Signal-to-Noise Ratio for Object Segmentation Using Polygonal MDL-Based Statistical Snakes","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W1545287889","doi":"https://doi.org/10.1007/978-3-540-45063-4_24","mag":"1545287889"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-45063-4_24","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-45063-4_24","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5018940861","display_name":"Fran\u00e7ois Goudail","orcid":"https://orcid.org/0000-0003-2342-1257"},"institutions":[{"id":"https://openalex.org/I4210125985","display_name":"Institut Fresnel","ror":"https://ror.org/03br1wy20","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I21491767","https://openalex.org/I4210095849","https://openalex.org/I4210125985","https://openalex.org/I4210142724"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fran\u00e7ois Goudail","raw_affiliation_strings":["Fresnel Institute, Physics and Image Processing group, Dom. Univ. St J\u00e9r\u00f4me, 13397, Marseille Cedex 20"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fresnel Institute, Physics and Image Processing group, Dom. Univ. St J\u00e9r\u00f4me, 13397, Marseille Cedex 20","institution_ids":["https://openalex.org/I4210125985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108493055","display_name":"Philippe R\u00e9fr\u00e9gier","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125985","display_name":"Institut Fresnel","ror":"https://ror.org/03br1wy20","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I21491767","https://openalex.org/I4210095849","https://openalex.org/I4210125985","https://openalex.org/I4210142724"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Philippe R\u00e9fr\u00e9gier","raw_affiliation_strings":["Fresnel Institute, Physics and Image Processing group, Dom. Univ. St J\u00e9r\u00f4me, 13397, Marseille Cedex 20"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fresnel Institute, Physics and Image Processing group, Dom. Univ. St J\u00e9r\u00f4me, 13397, Marseille Cedex 20","institution_ids":["https://openalex.org/I4210125985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044275645","display_name":"Olivier Ruch","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093062","display_name":"Thales (United Kingdom)","ror":"https://ror.org/00r8j9489","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210093062","https://openalex.org/I4210140930"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Olivier Ruch","raw_affiliation_strings":["Thales Optronique S.A., Rue Guynemer, BP 55, 78283, Guyancourt Cedex"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales Optronique S.A., Rue Guynemer, BP 55, 78283, Guyancourt Cedex","institution_ids":["https://openalex.org/I4210093062"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.0373,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72477424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"373","last_page":"388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9983999729156494,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9983999729156494,"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":0.998199999332428,"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":0.9980999827384949,"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/bhattacharyya-distance","display_name":"Bhattacharyya distance","score":0.8994590044021606},{"id":"https://openalex.org/keywords/minimum-description-length","display_name":"Minimum description length","score":0.7594701051712036},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7306854724884033},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7200225591659546},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6032198667526245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.595546305179596},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5898944735527039},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49815845489501953},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4960514008998871},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47228461503982544},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.45145875215530396},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37457263469696045},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3326289653778076},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25161322951316833}],"concepts":[{"id":"https://openalex.org/C24145651","wikidata":"https://www.wikidata.org/wiki/Q2901249","display_name":"Bhattacharyya distance","level":2,"score":0.8994590044021606},{"id":"https://openalex.org/C87465248","wikidata":"https://www.wikidata.org/wiki/Q1417790","display_name":"Minimum description length","level":2,"score":0.7594701051712036},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7306854724884033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7200225591659546},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6032198667526245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.595546305179596},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5898944735527039},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49815845489501953},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4960514008998871},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47228461503982544},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.45145875215530396},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37457263469696045},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3326289653778076},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25161322951316833},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-540-45063-4_24","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-45063-4_24","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:HAL:hal-00079937v1","is_oa":false,"landing_page_url":"https://hal.science/hal-00079937","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":"2003, pp.373-388","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1533169541","https://openalex.org/W1977815842","https://openalex.org/W1979534464","https://openalex.org/W1986809322","https://openalex.org/W1989582723","https://openalex.org/W1995875735","https://openalex.org/W2011083450","https://openalex.org/W2027350525","https://openalex.org/W2029218706","https://openalex.org/W2030681923","https://openalex.org/W2065597245","https://openalex.org/W2081045592","https://openalex.org/W2099111195","https://openalex.org/W2104095591","https://openalex.org/W2105125008","https://openalex.org/W2110242066","https://openalex.org/W2113453847","https://openalex.org/W2135949904","https://openalex.org/W2147124837","https://openalex.org/W2153190668","https://openalex.org/W2157878716","https://openalex.org/W2160754664","https://openalex.org/W2163599171","https://openalex.org/W2164211741","https://openalex.org/W2573934436","https://openalex.org/W2623884251","https://openalex.org/W3113132584","https://openalex.org/W3133603318","https://openalex.org/W4301106181"],"related_works":["https://openalex.org/W1982681402","https://openalex.org/W3149747767","https://openalex.org/W1536747792","https://openalex.org/W2192403599","https://openalex.org/W2366937720","https://openalex.org/W2163087802","https://openalex.org/W2155818328","https://openalex.org/W1545287889","https://openalex.org/W1522196789","https://openalex.org/W2168652261"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}