{"id":"https://openalex.org/W3003441578","doi":"https://doi.org/10.1587/transinf.2019edp7122","title":"Nonparametric Distribution Prior Model for Image Segmentation","display_name":"Nonparametric Distribution Prior Model for Image Segmentation","publication_year":2020,"publication_date":"2020-01-31","ids":{"openalex":"https://openalex.org/W3003441578","doi":"https://doi.org/10.1587/transinf.2019edp7122","mag":"3003441578"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2019edp7122","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2019edp7122","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/2/E103.D_2019EDP7122/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/2/E103.D_2019EDP7122/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111929740","display_name":"Ming Dai","orcid":"https://orcid.org/0000-0003-4540-8889"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming DAI","raw_affiliation_strings":["South China University of Technology"],"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053841398","display_name":"Zhiheng Zhou","orcid":"https://orcid.org/0000-0003-4040-0175"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiheng ZHOU","raw_affiliation_strings":["South China University of Technology"],"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075474564","display_name":"Tianlei Wang","orcid":"https://orcid.org/0000-0002-4498-4326"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tianlei WANG","raw_affiliation_strings":["Wuyi University"],"affiliations":[{"raw_affiliation_string":"Wuyi University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072349564","display_name":"Yongfan Guo","orcid":"https://orcid.org/0000-0002-9879-5168"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongfan GUO","raw_affiliation_strings":["South China University of Technology"],"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5111929740"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01067692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"E103.D","issue":"2","first_page":"416","last_page":"423"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987999796867371,"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":0.9945999979972839,"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/computer-science","display_name":"Computer science","score":0.7534420490264893},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.6873302459716797},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6693401336669922},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6569904088973999},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5457316637039185},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5241901278495789},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5196098685264587},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.5113682150840759},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4864880442619324},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.48592081665992737},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46937990188598633},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4279329180717468},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4166163206100464},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4154573678970337},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2245582640171051},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11942577362060547}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7534420490264893},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.6873302459716797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6693401336669922},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6569904088973999},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5457316637039185},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5241901278495789},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5196098685264587},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5113682150840759},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4864880442619324},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.48592081665992737},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46937990188598633},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4279329180717468},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4166163206100464},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4154573678970337},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2245582640171051},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11942577362060547},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2019edp7122","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2019edp7122","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/2/E103.D_2019EDP7122/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2019edp7122","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2019edp7122","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/2/E103.D_2019EDP7122/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1033136331","display_name":null,"funder_award_id":"2019020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2324495374","display_name":null,"funder_award_id":"61871188","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3555543989","display_name":null,"funder_award_id":"C0309","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5177142785","display_name":null,"funder_award_id":"6187118","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8521389616","display_name":null,"funder_award_id":"2020008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3003441578.pdf","grobid_xml":"https://content.openalex.org/works/W3003441578.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1491305755","https://openalex.org/W1991113069","https://openalex.org/W2036576620","https://openalex.org/W2052479847","https://openalex.org/W2079690285","https://openalex.org/W2086921140","https://openalex.org/W2104095591","https://openalex.org/W2112891016","https://openalex.org/W2116040950","https://openalex.org/W2118020555","https://openalex.org/W2120352496","https://openalex.org/W2120613650","https://openalex.org/W2122184585","https://openalex.org/W2124351162","https://openalex.org/W2129390138","https://openalex.org/W2140717750","https://openalex.org/W2144857435","https://openalex.org/W2145803225","https://openalex.org/W2155343350","https://openalex.org/W2211248819","https://openalex.org/W2345053660","https://openalex.org/W2728450840","https://openalex.org/W3211330693"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2372421320","https://openalex.org/W2057775483","https://openalex.org/W2041871225","https://openalex.org/W2386644571","https://openalex.org/W2387793296","https://openalex.org/W1558398159","https://openalex.org/W2380607399"],"abstract_inverted_index":{"In":[0,37],"many":[1],"real":[2],"application":[3],"scenarios":[4],"of":[5,27,33,45,57,83,90,101,109,131,141,156,166,174],"image":[6],"segmentation":[7,21,178],"problems":[8],"involving":[9],"limited":[10],"and":[11,92,103,129,143,158,180],"low-quality":[12],"data,":[13],"employing":[14],"prior":[15,35,46,52,68,73,95,145,175],"information":[16,96,173],"can":[17,97,182],"significantly":[18],"improve":[19],"the":[20,25,28,55,81,87,99,105,118,127,132,135,139,144,164,167,172,177],"result.":[22],"For":[23],"example,":[24],"shape":[26,72],"object":[29,84],"is":[30,49,77,114,147],"a":[31,42,65,154],"kind":[32,44],"common":[34],"information.":[36],"this":[38],"paper,":[39],"we":[40,63],"introduced":[41],"new":[43],"information,":[47],"which":[48],"named":[50],"by":[51],"distribution.":[53],"On":[54],"basis":[56],"nonparametric":[58],"statistical":[59],"active":[60,133],"contour":[61,119,142],"model,":[62,74],"proposed":[64,168],"novel":[66],"distribution":[67,89,124,136],"model.":[69,106],"Unlike":[70],"traditional":[71],"our":[75,111],"model":[76],"not":[78],"sensitive":[79],"to":[80],"shapes":[82],"boundary.":[85],"Using":[86],"intensity":[88],"objects":[91],"backgrounds":[93],"as":[94,115],"simplify":[98],"process":[100],"establishing":[102],"solving":[104],"The":[107],"idea":[108],"constructing":[110],"energy":[112],"function":[113],"follows.":[116],"During":[117],"curve":[120],"convergence,":[121],"while":[122],"maximizing":[123],"difference":[125,137],"between":[126,138],"inside":[128],"outside":[130],"contour,":[134],"inside/outside":[140],"object/background":[146],"minimized.":[148],"We":[149],"present":[150],"experimental":[151],"results":[152,162],"on":[153],"variety":[155],"synthetic":[157],"natural":[159],"images.":[160],"Experimental":[161],"demonstrate":[163],"potential":[165],"method":[169],"that":[170],"with":[171],"distribution,":[176],"effect":[179],"speed":[181],"be":[183],"both":[184],"improved":[185],"efficaciously.":[186]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}