{"id":"https://openalex.org/W2124243707","doi":"https://doi.org/10.1109/icpr.2002.1048389","title":"Clustering-based control of active contour model","display_name":"Clustering-based control of active contour model","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2124243707","doi":"https://doi.org/10.1109/icpr.2002.1048389","mag":"2124243707"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1048389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/A5019791003","display_name":"Toru Abe","orcid":"https://orcid.org/0000-0002-3786-0122"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"T. Abe","raw_affiliation_strings":["Information Synergy Center, University of Tohoku, Sendai, Japan","Information Synergy Center, Tohoku University, Sendai, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Information Synergy Center, University of Tohoku, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]},{"raw_affiliation_string":"Information Synergy Center, Tohoku University, Sendai, Japan#TAB#","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079404953","display_name":"Yoko Matsuzawa","orcid":"https://orcid.org/0000-0003-1873-8823"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Y. Matsuzawa","raw_affiliation_strings":["Graduate School of Information Science & Engineering,Presto JST, Tokyo Institute of Technology, Meguro, Tokyo, Japan","Tokyo Inst. of Tech"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science & Engineering,Presto JST, Tokyo Institute of Technology, Meguro, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Tokyo Inst. of Tech","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019791003"],"corresponding_institution_ids":["https://openalex.org/I201537933"],"apc_list":null,"apc_paid":null,"fwci":0.2669,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59272129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"663","last_page":"667"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9864000082015991,"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":0.9851999878883362,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8083474636077881},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7688706517219543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.623949408531189},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.6045206785202026},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5686013102531433},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5225055813789368},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5216141939163208},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.49760106205940247},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4871218204498291},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4666196405887604},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41237208247184753},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1349918246269226}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8083474636077881},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7688706517219543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.623949408531189},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.6045206785202026},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5686013102531433},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5225055813789368},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5216141939163208},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.49760106205940247},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4871218204498291},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4666196405887604},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41237208247184753},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1349918246269226},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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:10.1109/icpr.2002.1048389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2016482013","https://openalex.org/W2023297597","https://openalex.org/W2027730457","https://openalex.org/W2098152234","https://openalex.org/W2100891737","https://openalex.org/W2104095591","https://openalex.org/W2105125008","https://openalex.org/W2133059825","https://openalex.org/W2158522771"],"related_works":["https://openalex.org/W2387003628","https://openalex.org/W123102278","https://openalex.org/W2081609930","https://openalex.org/W2365596436","https://openalex.org/W2128914210","https://openalex.org/W2083612662","https://openalex.org/W2058859118","https://openalex.org/W1984178488","https://openalex.org/W2159463658","https://openalex.org/W2294966599"],"abstract_inverted_index":{"To":[0,48],"extract":[1],"object":[2,72],"regions":[3],"from":[4],"images,":[5],"the":[6,21,25,35,62,88,103,106],"methods":[7,29,37],"using":[8],"region-based":[9,59],"active":[10],"contour":[11],"model":[12],"(ACM)":[13],"have":[14],"been":[15],"proposed.":[16],"By":[17],"controlling":[18,58],"ACM":[19,120],"with":[20],"statistical":[22],"characteristics":[23],"of":[24,99],"image":[26,89,107],"properties,":[27],"these":[28,50],"effect":[30],"robust":[31],"region":[32,126],"extraction.":[33],"However":[34],"existing":[36],"require":[38],"redundant":[39],"processing":[40],"and":[41,81,112,122,124],"cannot":[42],"adapt":[43],"to":[44,86],"complex":[45],"scene":[46],"images.":[47],"overcome":[49],"problems,":[51],"we":[52],"propose":[53],"a":[54,65,97,110],"new":[55],"method":[56],"for":[57],"ACM.":[60],"In":[61],"proposed":[63],"method,":[64],"definite":[66,104],"area":[67,75,114],"is":[68,76],"set":[69],"along":[70],"an":[71],"boundary.":[73],"This":[74],"partitioned":[77],"into":[78],"several":[79],"subareas,":[80],"they,":[82],"are":[83],"iteratively":[84],"deformed":[85],"make":[87],"properties":[90,108],"be":[91,116,129],"uniform":[92],"in":[93,109],"each":[94],"subarea.":[95],"As":[96],"result":[98],"this":[100],"clustering":[101],"on":[102,119],"area,":[105],"necessary":[111],"sufficient":[113],"can":[115,128],"effectively":[117],"reflected":[118],"control,":[121],"efficient":[123],"accurate":[125],"extraction":[127],"achieved.":[130]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}