{"id":"https://openalex.org/W1993355282","doi":"https://doi.org/10.1109/icbake.2013.7","title":"An Automated Color Image Arrangement Method Based on Histogram Matching","display_name":"An Automated Color Image Arrangement Method Based on Histogram Matching","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1993355282","doi":"https://doi.org/10.1109/icbake.2013.7","mag":"1993355282"},"language":"en","primary_location":{"id":"doi:10.1109/icbake.2013.7","doi":"https://doi.org/10.1109/icbake.2013.7","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbake.2013.7","pdf_url":null,"source":{"id":"https://openalex.org/S7407088375","display_name":"International Conference on Biometrics and Kansei Engineering (ICBAKE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Biometrics and Kansei Engineering","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5041561077","display_name":"Yusuke Kawakami","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I201933988","display_name":"Kagawa University","ror":"https://ror.org/04j7mzp05","country_code":"JP","type":"education","lineage":["https://openalex.org/I201933988"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Kawakami","raw_affiliation_strings":["Graduate School of Engineering, Kagawa University, Kagawa, Japan","Grad. Sch. of Eng., Kagawa Univ., Takamatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Kagawa University, Kagawa, Japan","institution_ids":["https://openalex.org/I201933988"]},{"raw_affiliation_string":"Grad. Sch. of Eng., Kagawa Univ., Takamatsu, Japan","institution_ids":["https://openalex.org/I201933988"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109833011","display_name":"Tetsuo Hattori","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I201933988","display_name":"Kagawa University","ror":"https://ror.org/04j7mzp05","country_code":"JP","type":"education","lineage":["https://openalex.org/I201933988"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuo Hattori","raw_affiliation_strings":["Graduate School of Engineering, Kagawa University, Kagawa, Japan","Grad. Sch. of Eng., Kagawa Univ., Takamatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Kagawa University, Kagawa, Japan","institution_ids":["https://openalex.org/I201933988"]},{"raw_affiliation_string":"Grad. Sch. of Eng., Kagawa Univ., Takamatsu, Japan","institution_ids":["https://openalex.org/I201933988"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029424227","display_name":"Daisuke Kutsuna","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I201933988","display_name":"Kagawa University","ror":"https://ror.org/04j7mzp05","country_code":"JP","type":"education","lineage":["https://openalex.org/I201933988"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daisuke Kutsuna","raw_affiliation_strings":["Graduate School of Engineering, Kagawa University, Kagawa, Japan","Grad. Sch. of Eng., Kagawa Univ., Takamatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Kagawa University, Kagawa, Japan","institution_ids":["https://openalex.org/I201933988"]},{"raw_affiliation_string":"Grad. Sch. of Eng., Kagawa Univ., Takamatsu, Japan","institution_ids":["https://openalex.org/I201933988"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005690657","display_name":"Haruna Matsushita","orcid":"https://orcid.org/0000-0002-7850-5119","observed_orcids":["https://orcid.org/0000-0002-7850-5119"]},"institutions":[{"id":"https://openalex.org/I201933988","display_name":"Kagawa University","ror":"https://ror.org/04j7mzp05","country_code":"JP","type":"education","lineage":["https://openalex.org/I201933988"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Haruna Matsushita","raw_affiliation_strings":["Graduate School of Engineering, Kagawa University, Kagawa, Japan","Grad. Sch. of Eng., Kagawa Univ., Takamatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Kagawa University, Kagawa, Japan","institution_ids":["https://openalex.org/I201933988"]},{"raw_affiliation_string":"Grad. Sch. of Eng., Kagawa Univ., Takamatsu, Japan","institution_ids":["https://openalex.org/I201933988"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100800650","display_name":"Yoshiro Imai","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I201933988","display_name":"Kagawa University","ror":"https://ror.org/04j7mzp05","country_code":"JP","type":"education","lineage":["https://openalex.org/I201933988"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiro Imai","raw_affiliation_strings":["Graduate School of Engineering, Kagawa University, Kagawa, Japan","Grad. Sch. of Eng., Kagawa Univ., Takamatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Kagawa University, Kagawa, Japan","institution_ids":["https://openalex.org/I201933988"]},{"raw_affiliation_string":"Grad. Sch. of Eng., Kagawa Univ., Takamatsu, Japan","institution_ids":["https://openalex.org/I201933988"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110826156","display_name":"Hiromichi Kawano","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]},{"id":"https://openalex.org/I4405273792","display_name":"NTT Advanced Technology Corporation (Japan)","ror":"https://ror.org/00fmedr36","country_code":"JP","type":"company","lineage":["https://openalex.org/I4405273792"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiromichi Kawano","raw_affiliation_strings":["NTT Advanced Technology Corporation, Tokyo, Japan","NTT Adv. Technol., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Advanced Technology Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I4405273792"]},{"raw_affiliation_string":"NTT Adv. Technol., Tokyo, Japan","institution_ids":["https://openalex.org/I2251713219","https://openalex.org/I4405273792"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070675922","display_name":"R.P.C. Janaka Rajapakse","orcid":"https://orcid.org/0000-0001-9592-5716","observed_orcids":["https://orcid.org/0000-0001-9592-5716"]},"institutions":[{"id":"https://openalex.org/I4210135880","display_name":"Tainan National University of the Arts","ror":"https://ror.org/02vgg4e89","country_code":"TW","type":"education","lineage":["https://openalex.org/I4210135880"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"R.P.C. Janaka Rajapakse","raw_affiliation_strings":["Tainan National University of Arts, Taiwan","Tainan Nat. Univ. of the Arts, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tainan National University of Arts, Taiwan","institution_ids":["https://openalex.org/I4210135880"]},{"raw_affiliation_string":"Tainan Nat. Univ. of the Arts, Tainan, Taiwan","institution_ids":["https://openalex.org/I4210135880"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6326,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64456593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"9","issue":null,"first_page":"31","last_page":"34"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.5795999765396118,"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/T11019","display_name":"Image Enhancement Techniques","score":0.5795999765396118,"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/T12496","display_name":"Color perception and design","score":0.1151999980211258,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.08980000019073486,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/histogram-matching","display_name":"histogram matching","score":0.9900000095367432},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"principal component analysis","score":0.7639999985694885}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.816819429397583},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.8083527088165283},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.7623019218444824},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7465767860412598},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6963906288146973},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6174666881561279},{"id":"https://openalex.org/C62725073","wikidata":"https://www.wikidata.org/wiki/Q1771663","display_name":"Image histogram","level":5,"score":0.6053169965744019},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.577528178691864},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.563476026058197},{"id":"https://openalex.org/C44404184","wikidata":"https://www.wikidata.org/wiki/Q5148620","display_name":"Color normalization","level":5,"score":0.5518817901611328},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.5186545252799988},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5071382522583008},{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.49434351921081543},{"id":"https://openalex.org/C193601281","wikidata":"https://www.wikidata.org/wiki/Q19426","display_name":"Lightness","level":2,"score":0.4893316626548767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48847925662994385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4731498956680298},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.42216983437538147},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2544143795967102},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2269393801689148}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icbake.2013.7","doi":"https://doi.org/10.1109/icbake.2013.7","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbake.2013.7","pdf_url":null,"source":{"id":"https://openalex.org/S7407088375","display_name":"International Conference on Biometrics and Kansei Engineering (ICBAKE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Biometrics and Kansei Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W141005364","https://openalex.org/W2020488566","https://openalex.org/W2501907080","https://openalex.org/W2558913208","https://openalex.org/W2562277902"],"related_works":["https://openalex.org/W2522892746","https://openalex.org/W2159641762","https://openalex.org/W2916116712","https://openalex.org/W2562277902","https://openalex.org/W4395660135","https://openalex.org/W2888834821","https://openalex.org/W2567835590","https://openalex.org/W2467113385","https://openalex.org/W2588059426","https://openalex.org/W1845074937"],"abstract_inverted_index":{"We":[0,120],"propose":[1],"a":[2,113,127],"novel":[3],"color":[4,47,60,85],"image":[5,86,90],"arrangement":[6,61],"method":[7,62,79,111,124],"using":[8],"an":[9,43],"elastic":[10],"transform":[11],"based":[12,64,69],"on":[13,16,65,70,97],"histogram":[14,96],"matching":[15],"some":[17],"kinds":[18],"of":[19,46,57,108,137],"axes.":[20],"The":[21],"axes":[22,28],"include":[23],"Lightness":[24,142],"axis":[25],"and":[26],"PC":[27],"obtained":[29],"from":[30],"Principal":[31],"Component":[32],"Analysis":[33],"(PCA)":[34],"in":[35,94,134],"the":[36,55,77,81,89,98,105,110,117,123,135,139],"RGB":[37],"three-dimensional":[38],"vector":[39],"space":[40,45],"that":[41,76,122],"is":[42],"attribute":[44],"image.":[48],"In":[49,101],"this":[50],"paper,":[51],"we":[52,74],"mainly":[53],"present":[54],"principle":[56],"its":[58,95],"automated":[59,78],"especially":[63],"HMGD":[66,82,140],"(Histogram":[67],"Matching":[68],"Gaussian":[71],"Distribution).":[72],"And":[73],"describe":[75],"applies":[80],"to":[83,103],"input":[84],"only":[87],"if":[88],"has":[91],"single-peaked":[92,106],"ness":[93,107],"focused":[99],"axis.":[100,143],"order":[102],"detect":[104],"histogram,":[109],"uses":[112],"curvature":[114],"computation":[115],"for":[116],"cumulative":[118],"histogram.":[119],"show":[121],"brings":[125],"about":[126],"good":[128],"sensibility":[129],"effect":[130],"(or":[131],"Kansei":[132],"effect)":[133],"case":[136],"applying":[138],"onto":[141]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}