{"id":"https://openalex.org/W2064174492","doi":"https://doi.org/10.1109/mci.2012.2228592","title":"Object Detection Using Color Entropies and a Fuzzy Classifier","display_name":"Object Detection Using Color Entropies and a Fuzzy Classifier","publication_year":2013,"publication_date":"2013-01-15","ids":{"openalex":"https://openalex.org/W2064174492","doi":"https://doi.org/10.1109/mci.2012.2228592","mag":"2064174492"},"language":"en","primary_location":{"id":"doi:10.1109/mci.2012.2228592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mci.2012.2228592","pdf_url":null,"source":{"id":"https://openalex.org/S104797584","display_name":"IEEE Computational Intelligence Magazine","issn_l":"1556-603X","issn":["1556-603X","1556-6048"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computational Intelligence Magazine","raw_type":"journal-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/A5000948153","display_name":"Guo-Cyuan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]},{"id":"https://openalex.org/I99613584","display_name":"National Taipei University","ror":"https://ror.org/03e29r284","country_code":"TW","type":"education","lineage":["https://openalex.org/I99613584"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Guo-Cyuan Chen","raw_affiliation_strings":["National Chung-Hsing University, Taiwan","Dept. of Electr. Eng., National Chung Hsing Univ., Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chung-Hsing University, Taiwan","institution_ids":["https://openalex.org/I99613584","https://openalex.org/I162838928"]},{"raw_affiliation_string":"Dept. of Electr. Eng., National Chung Hsing Univ., Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028317740","display_name":"Chia\u2010Feng Juang","orcid":"https://orcid.org/0000-0002-3713-4315"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]},{"id":"https://openalex.org/I99613584","display_name":"National Taipei University","ror":"https://ror.org/03e29r284","country_code":"TW","type":"education","lineage":["https://openalex.org/I99613584"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Feng Juang","raw_affiliation_strings":["National Chung-Hsing University, Taiwan","Dept. of Electr. Eng., National Chung Hsing Univ., Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chung-Hsing University, Taiwan","institution_ids":["https://openalex.org/I99613584","https://openalex.org/I162838928"]},{"raw_affiliation_string":"Dept. of Electr. Eng., National Chung Hsing Univ., Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.8792,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.96441321,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":"1","first_page":"33","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.968999981880188,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9635999798774719,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8270716071128845},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6924533247947693},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6520871520042419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5803195238113403},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.5744197368621826},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5573769211769104},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5465329885482788},{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.54423987865448},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5359002351760864},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.47728434205055237},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"Foreground detection","score":0.4616457521915436},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.44568151235580444},{"id":"https://openalex.org/keywords/color-model","display_name":"Color model","score":0.43173742294311523},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4242272675037384},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.41307616233825684},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3619380593299866},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.31128108501434326},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2515299320220947},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10786998271942139}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8270716071128845},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6924533247947693},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6520871520042419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5803195238113403},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.5744197368621826},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5573769211769104},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5465329885482788},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.54423987865448},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5359002351760864},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.47728434205055237},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.4616457521915436},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.44568151235580444},{"id":"https://openalex.org/C36262787","wikidata":"https://www.wikidata.org/wiki/Q2294018","display_name":"Color model","level":4,"score":0.43173742294311523},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4242272675037384},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.41307616233825684},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3619380593299866},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.31128108501434326},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2515299320220947},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10786998271942139},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mci.2012.2228592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mci.2012.2228592","pdf_url":null,"source":{"id":"https://openalex.org/S104797584","display_name":"IEEE Computational Intelligence Magazine","issn_l":"1556-603X","issn":["1556-603X","1556-6048"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computational Intelligence Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W43637044","https://openalex.org/W1480376833","https://openalex.org/W1542813816","https://openalex.org/W1554944419","https://openalex.org/W1563088657","https://openalex.org/W1570834090","https://openalex.org/W1971824518","https://openalex.org/W2002193345","https://openalex.org/W2005222981","https://openalex.org/W2013019129","https://openalex.org/W2014016226","https://openalex.org/W2031489346","https://openalex.org/W2071327126","https://openalex.org/W2077736182","https://openalex.org/W2099002670","https://openalex.org/W2099213012","https://openalex.org/W2103717630","https://openalex.org/W2106237323","https://openalex.org/W2106302959","https://openalex.org/W2107271548","https://openalex.org/W2107634464","https://openalex.org/W2109011280","https://openalex.org/W2111966567","https://openalex.org/W2112076978","https://openalex.org/W2114966857","https://openalex.org/W2115878022","https://openalex.org/W2131626954","https://openalex.org/W2148126036","https://openalex.org/W2150231499","https://openalex.org/W2151103935","https://openalex.org/W2151863350","https://openalex.org/W2152161790","https://openalex.org/W2157768868","https://openalex.org/W2161086211","https://openalex.org/W2161969291","https://openalex.org/W2162557814","https://openalex.org/W2167257481","https://openalex.org/W2170003605","https://openalex.org/W2346154048","https://openalex.org/W2911964244","https://openalex.org/W4236844765","https://openalex.org/W6676769703","https://openalex.org/W6683580826","https://openalex.org/W6704566595","https://openalex.org/W7027716524"],"related_works":["https://openalex.org/W4255532429","https://openalex.org/W2048883597","https://openalex.org/W181903982","https://openalex.org/W2797983562","https://openalex.org/W2043999711","https://openalex.org/W2029621904","https://openalex.org/W2064532007","https://openalex.org/W2117507819","https://openalex.org/W2184812340","https://openalex.org/W2388236772"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,18,67,158],"novel":[4,59],"approach":[5,50,221],"to":[6,29,40,84,97,120,136,166,169,194],"specific":[7],"object":[8,122,139],"detection":[9,49,196,202,210,220],"in":[10,33,88,113],"complex":[11],"scenes":[12],"using":[13,44,176,222],"color-based":[14,60],"entropy":[15,61,72],"features":[16],"and":[17,91,117,180,187,206,212],"fuzzy":[19],"classifier":[20],"(FC).":[21],"Appearances":[22],"of":[23,52,73,101,111,131,152,157,203,217],"the":[24,71,89,98,114,129,138,143,153,177,201,215,218,223],"detected":[25],"objects":[26,43,205],"are":[27,164],"assumed":[28],"contain":[30],"multiple":[31],"colors":[32,156],"non-homogeneous":[34],"distributions":[35,134],"that":[36],"make":[37],"it":[38],"difficult":[39],"detect":[41],"these":[42],"shape":[45],"features.":[46,62],"The":[47,63,104,124,161],"proposed":[48,83,193,219],"consists":[51],"two":[53,57],"filtering":[54,126],"phases":[55],"with":[56,70,208],"different":[58,204],"first":[64,144],"phase":[65,127],"filters":[66],"test":[68],"pattern":[69],"color":[74,94,133],"component":[75],"(ECC).":[76],"A":[77,173],"self-splitting":[78],"clustering":[79],"(SSC)":[80],"algorithm":[81,179],"is":[82,107,118,148,192],"automatically":[85],"generate":[86,121],"clusters":[87,116],"hue":[90],"saturation":[92],"(HS)":[93],"space":[95],"according":[96],"composing":[99,155],"pixels":[100,112],"an":[102,167],"object.":[103,160],"ECC":[105],"value":[106],"computed":[108,149],"from":[109,142],"histograms":[110],"found":[115],"used":[119],"candidates.":[123],"second":[125],"uses":[128],"entropies":[130],"geometric":[132],"(EGCD)":[135],"filter":[137],"candidates":[140],"obtained":[141],"phase.":[145],"An":[146],"EGCD":[147,162],"for":[150,185],"each":[151],"clustered":[154],"candidate":[159],"values":[163],"fed":[165],"FC":[168,175],"enable":[170],"advanced":[171],"filtering.":[172],"new":[174],"SSC":[178],"support":[181],"vector":[182],"machine":[183],"(FC-SSCSVM)":[184],"antecedent":[186],"consequent":[188],"parameter":[189],"learning,":[190],"respectively,":[191],"improve":[195],"performance.":[197],"Experimental":[198],"results":[199],"on":[200],"comparisons":[207],"various":[209],"approaches":[211],"classifiers":[213],"verify":[214],"advantage":[216],"FC-SSCSVM.":[224]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
