{"id":"https://openalex.org/W79502499","doi":"https://doi.org/10.2352/cic.2004.12.1.art00018","title":"Automatic Interchange in Scene Colors by Image Segmentation","display_name":"Automatic Interchange in Scene Colors by Image Segmentation","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W79502499","doi":"https://doi.org/10.2352/cic.2004.12.1.art00018","mag":"79502499"},"language":"en","primary_location":{"id":"doi:10.2352/cic.2004.12.1.art00018","is_oa":true,"landing_page_url":"https://doi.org/10.2352/cic.2004.12.1.art00018","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/12/1/art00018","source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/12/1/art00018","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032319122","display_name":"Hiroaki Kotera","orcid":null},"institutions":[{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]},{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hiroaki Kotera","raw_affiliation_strings":["Department of Information and Image Sciences , Chiba University , Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information and Image Sciences , Chiba University , Japan","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I159385669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060692543","display_name":"Takahiko Horiuchi","orcid":"https://orcid.org/0000-0002-8197-6499"},"institutions":[{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]},{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiko Horiuchi","raw_affiliation_strings":["Department of Information and Image Sciences , Chiba University , Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information and Image Sciences , Chiba University , Japan","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I159385669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032319122"],"corresponding_institution_ids":["https://openalex.org/I14396692","https://openalex.org/I159385669"],"apc_list":null,"apc_paid":null,"fwci":0.555,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66481304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"12","issue":"1","first_page":"93","last_page":"99"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9649999737739563,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9649999737739563,"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":0.9435999989509583,"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":0.9312000274658203,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8185957670211792},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6957025527954102},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6895351409912109},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6318833827972412},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5844874978065491},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5503409504890442},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5071549415588379},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4577424228191376},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.45288917422294617},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.437873512506485},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4315551817417145},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.08146035671234131}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8185957670211792},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6957025527954102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6895351409912109},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6318833827972412},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5844874978065491},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5503409504890442},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5071549415588379},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4577424228191376},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.45288917422294617},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.437873512506485},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4315551817417145},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.08146035671234131}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/cic.2004.12.1.art00018","is_oa":true,"landing_page_url":"https://doi.org/10.2352/cic.2004.12.1.art00018","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/12/1/art00018","source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2352/cic.2004.12.1.art00018","is_oa":true,"landing_page_url":"https://doi.org/10.2352/cic.2004.12.1.art00018","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/12/1/art00018","source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W79502499.pdf","grobid_xml":"https://content.openalex.org/works/W79502499.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2551987074","https://openalex.org/W2372421320"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,37,90],"is":[2,54],"a":[3,12,55,95,127],"first":[4],"step":[5],"to":[6,46,58,71,98],"vision":[7],"system":[8],"and":[9,43,103],"used":[10],"as":[11,18],"pre-processing":[13],"for":[14,115],"many":[15],"applications":[16],"such":[17],"pattern":[19],"recognition,":[20],"image":[21,36],"classification,":[22],"picture":[23],"coding":[24],"or":[25],"target":[26],"tracking.":[27],"In":[28,122],"the":[29,60,64,79,89,100,105,117,124],"previous":[30],"papers,":[31],"we":[32],"reported":[33],"an":[34],"unsupervised":[35],"method":[38],"based":[39],"on":[40],"Bayesian":[41,51,106],"classifier":[42,114],"applied":[44],"it":[45,69],"object-to-object":[47],"color":[48,135],"transformation.":[49],"Although":[50],"decision":[52],"rule":[53],"robust":[56],"tool":[57],"classify":[59],"objects":[61],"statistically":[62],"with":[63,112],"minimum":[65],"error":[66],"in":[67],"average,":[68],"needs":[70],"preset":[72],"some":[73],"appropriate":[74],"class":[75],"centers":[76],"before":[77],"starting":[78],"classifier.":[80],"The":[81],"location":[82,118],"of":[83,119,130],"initial":[84,101],"seed":[85,120],"points":[86],"much":[87],"influences":[88],"accuracy.":[91],"This":[92],"paper":[93,125],"discusses":[94],"better":[96,109],"way":[97],"set":[99],"seeds":[102],"reports":[104],"discriminator":[107],"works":[108],"when":[110],"coupled":[111],"k-means":[113],"correcting":[116],"points.":[121],"addition,":[123],"introduces":[126],"new":[128],"application":[129],"proposed":[131],"model":[132],"into":[133],"scene":[134],"interchanges":[136],"between":[137],"segmented":[138],"objects.":[139]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-13T14:20:09.374765","created_date":"2025-10-10T00:00:00"}