{"id":"https://openalex.org/W4200435109","doi":"https://doi.org/10.3233/faia210465","title":"Image Segmentation by Pairwise Nearest Neighbor Using Mumford-Shah Model","display_name":"Image Segmentation by Pairwise Nearest Neighbor Using Mumford-Shah Model","publication_year":2021,"publication_date":"2021-12-22","ids":{"openalex":"https://openalex.org/W4200435109","doi":"https://doi.org/10.3233/faia210465"},"language":"en","primary_location":{"id":"doi:10.3233/faia210465","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia210465","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA210465","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA210465","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032558958","display_name":"Nilima Shah","orcid":"https://orcid.org/0000-0003-2800-1868"},"institutions":[{"id":"https://openalex.org/I110116418","display_name":"Maharaja Sayajirao University of Baroda","ror":"https://ror.org/01bx8ja67","country_code":"IN","type":"education","lineage":["https://openalex.org/I110116418"]},{"id":"https://openalex.org/I175532246","display_name":"University of Eastern Finland","ror":"https://ror.org/00cyydd11","country_code":"FI","type":"education","lineage":["https://openalex.org/I175532246"]}],"countries":["FI","IN"],"is_corresponding":false,"raw_author_name":"Nilima Shah","raw_affiliation_strings":["The M.S. University of Baroda, Vadodara, Gujarat, India","University of Eastern Finland (UEF), Joensuu, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The M.S. University of Baroda, Vadodara, Gujarat, India","institution_ids":["https://openalex.org/I110116418"]},{"raw_affiliation_string":"University of Eastern Finland (UEF), Joensuu, Finland","institution_ids":["https://openalex.org/I175532246"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073349662","display_name":"Dhanesh Patel","orcid":"https://orcid.org/0000-0003-3951-4992"},"institutions":[{"id":"https://openalex.org/I110116418","display_name":"Maharaja Sayajirao University of Baroda","ror":"https://ror.org/01bx8ja67","country_code":"IN","type":"education","lineage":["https://openalex.org/I110116418"]},{"id":"https://openalex.org/I175532246","display_name":"University of Eastern Finland","ror":"https://ror.org/00cyydd11","country_code":"FI","type":"education","lineage":["https://openalex.org/I175532246"]}],"countries":["FI","IN"],"is_corresponding":false,"raw_author_name":"Dhanesh Patel","raw_affiliation_strings":["The M.S. University of Baroda, Vadodara, Gujarat, India","University of Eastern Finland (UEF), Joensuu, Finland;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The M.S. University of Baroda, Vadodara, Gujarat, India","institution_ids":["https://openalex.org/I110116418"]},{"raw_affiliation_string":"University of Eastern Finland (UEF), Joensuu, Finland;","institution_ids":["https://openalex.org/I175532246"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037846871","display_name":"Pasi Fr\u00e4nti","orcid":"https://orcid.org/0000-0002-9554-2827"},"institutions":[{"id":"https://openalex.org/I175532246","display_name":"University of Eastern Finland","ror":"https://ror.org/00cyydd11","country_code":"FI","type":"education","lineage":["https://openalex.org/I175532246"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Pasi Fr\u00e4nti","raw_affiliation_strings":["University of Eastern Finland (UEF), Joensuu, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Eastern Finland (UEF), Joensuu, Finland","institution_ids":["https://openalex.org/I175532246"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037846871"],"corresponding_institution_ids":["https://openalex.org/I175532246"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29862365,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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":0.996999979019165,"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":0.996999979019165,"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":0.9771999716758728,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9703999757766724,"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/merge","display_name":"Merge (version control)","score":0.8297051191329956},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7410733699798584},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6149458289146423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6021580100059509},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5668930411338806},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5302668809890747},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5182823538780212},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.49207037687301636},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46573132276535034},{"id":"https://openalex.org/keywords/homogeneity","display_name":"Homogeneity (statistics)","score":0.4434959292411804},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4354168772697449},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4174301028251648},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35202664136886597},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33377015590667725},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08810240030288696},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08212226629257202}],"concepts":[{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.8297051191329956},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7410733699798584},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6149458289146423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6021580100059509},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5668930411338806},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5302668809890747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5182823538780212},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.49207037687301636},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46573132276535034},{"id":"https://openalex.org/C142259097","wikidata":"https://www.wikidata.org/wiki/Q5891314","display_name":"Homogeneity (statistics)","level":2,"score":0.4434959292411804},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4354168772697449},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4174301028251648},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35202664136886597},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33377015590667725},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08810240030288696},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08212226629257202},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia210465","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia210465","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA210465","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia210465","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia210465","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA210465","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200435109.pdf","grobid_xml":"https://content.openalex.org/works/W4200435109.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W43025103","https://openalex.org/W132605052","https://openalex.org/W1529871791","https://openalex.org/W1580269359","https://openalex.org/W1634005169","https://openalex.org/W1941573026","https://openalex.org/W1998683784","https://openalex.org/W2003668590","https://openalex.org/W2007995029","https://openalex.org/W2016381774","https://openalex.org/W2023883913","https://openalex.org/W2026609130","https://openalex.org/W2036452013","https://openalex.org/W2043701189","https://openalex.org/W2075878063","https://openalex.org/W2096201928","https://openalex.org/W2096864066","https://openalex.org/W2114487471","https://openalex.org/W2116040950","https://openalex.org/W2124283018","https://openalex.org/W2130473611","https://openalex.org/W2132377940","https://openalex.org/W2144405005","https://openalex.org/W2153831373","https://openalex.org/W2155280009","https://openalex.org/W2155697938","https://openalex.org/W2156097299","https://openalex.org/W2167601989","https://openalex.org/W2170864621","https://openalex.org/W2314305063","https://openalex.org/W2523366538","https://openalex.org/W2884586244","https://openalex.org/W2940320374","https://openalex.org/W3153975561","https://openalex.org/W4200052306","https://openalex.org/W4233873101","https://openalex.org/W4237689419","https://openalex.org/W4245436919","https://openalex.org/W4300579287","https://openalex.org/W6634563179","https://openalex.org/W6677522362","https://openalex.org/W6682607108"],"related_works":["https://openalex.org/W1669643531","https://openalex.org/W2154512966","https://openalex.org/W2122581818","https://openalex.org/W2159066190","https://openalex.org/W2117933325","https://openalex.org/W2110230079","https://openalex.org/W2117664411","https://openalex.org/W1721780360","https://openalex.org/W2739874619","https://openalex.org/W2136476704"],"abstract_inverted_index":{"Mumford-Shah":[0,62],"model":[1],"has":[2,20],"been":[3,21],"used":[4],"for":[5],"image":[6],"segmentation":[7],"by":[8,24,44],"considering":[9],"both":[10,39],"homogeneity":[11],"and":[12,31,79],"the":[13,16,61,68,71],"shape":[14],"of":[15,70,88],"segments":[17],"jointly.":[18],"It":[19],"previously":[22],"optimized":[23],"complex":[25,91],"mathematical":[26],"optimization":[27],"methods":[28],"like":[29],"Douglas-Rachford,":[30],"a":[32],"faster":[33],"but":[34],"sub-optimal":[35],"k-means.":[36],"However,":[37],"they":[38],"suffer":[40],"from":[41],"fragmentation":[42],"caused":[43],"non-convex":[45],"segments.":[46],"In":[47],"this":[48,81],"paper,":[49],"we":[50],"present":[51],"hierarchical":[52],"algorithm":[53],"called":[54],"Pairwise":[55],"nearest":[56],"neighbor":[57],"(PNN)":[58],"to":[59,76],"optimize":[60],"model.":[63],"The":[64],"merge-based":[65],"strategy":[66],"utilizing":[67],"connectivity":[69],"pixels":[72],"prevents":[73],"isolated":[74],"fragments":[75],"be":[77],"formed,":[78],"in":[80,86],"way,":[82],"reaches":[83],"better":[84],"quality":[85],"case":[87],"images":[89],"containing":[90],"shapes.":[92]},"counts_by_year":[],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}
