{"id":"https://openalex.org/W2890779068","doi":"https://doi.org/10.1109/icip.2018.8451581","title":"Color Channel-Based Smoke Removal Algorithm Using Machine Learning for Static Images","display_name":"Color Channel-Based Smoke Removal Algorithm Using Machine Learning for Static Images","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2890779068","doi":"https://doi.org/10.1109/icip.2018.8451581","mag":"2890779068"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100687514","display_name":"Wei\u2010Ting Chen","orcid":"https://orcid.org/0000-0003-4922-4518"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Ting Chen","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087250153","display_name":"Shih\u2010Yi Yuan","orcid":"https://orcid.org/0000-0002-3704-0917"},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shih-Yi Yuan","raw_affiliation_strings":["Department of Communications Engineering, Feng Chia University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, Feng Chia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I4880106"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062890494","display_name":"Gui-Cheng Tsai","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Gui-Cheng Tsai","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007279117","display_name":"Hui-Chih Wang","orcid":"https://orcid.org/0000-0001-9279-5688"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hui-Chih Wang","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043885374","display_name":"Sy\u2010Yen Kuo","orcid":"https://orcid.org/0000-0002-3021-8321"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sy-Yen Kuo","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2855","last_page":"2859"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":1.0,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980999827384949,"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/smoke","display_name":"Smoke","score":0.8362452983856201},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7047073841094971},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6723745465278625},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.580069363117218},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5791977047920227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5557295680046082},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46429476141929626},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1345333456993103}],"concepts":[{"id":"https://openalex.org/C58874564","wikidata":"https://www.wikidata.org/wiki/Q130768","display_name":"Smoke","level":2,"score":0.8362452983856201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7047073841094971},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6723745465278625},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.580069363117218},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5791977047920227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5557295680046082},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46429476141929626},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1345333456993103},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1494869093","https://openalex.org/W2007692451","https://openalex.org/W2013107860","https://openalex.org/W2028763589","https://openalex.org/W2028990532","https://openalex.org/W2065002911","https://openalex.org/W2088436396","https://openalex.org/W2099386276","https://openalex.org/W2106402996","https://openalex.org/W2109616376","https://openalex.org/W2114867966","https://openalex.org/W2125188192","https://openalex.org/W2125303068","https://openalex.org/W2128254161","https://openalex.org/W2134678803","https://openalex.org/W2156936307","https://openalex.org/W2599835598","https://openalex.org/W2911964244","https://openalex.org/W3152029323","https://openalex.org/W4252054347","https://openalex.org/W6629497632","https://openalex.org/W6674736866"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2328698228","https://openalex.org/W2073681303","https://openalex.org/W4288693901","https://openalex.org/W830499452","https://openalex.org/W2353278981","https://openalex.org/W2495534660","https://openalex.org/W2382876515","https://openalex.org/W3048832137","https://openalex.org/W2380557683"],"abstract_inverted_index":{"Images":[0],"acquired":[1],"from":[2,118],"digital":[3],"cameras":[4],"are":[5,19,92],"usually":[6,33,60],"interfered":[7],"by":[8],"smoke,":[9],"which":[10],"may":[11],"degrade":[12],"the":[13,89,94,104,108,125,138,142],"performance":[14,63],"of":[15],"object":[16],"detection.":[17],"There":[18],"few":[20],"algorithms":[21,37],"focused":[22],"on":[23,78],"smoke":[24,40,50,65,74,82,117,144],"removal":[25,36,75,145],"for":[26,64,96,147],"still":[27],"images":[28],"so":[29],"far":[30,134],"and":[31,49,54,81,115],"we":[32,70,86,136],"use":[34],"haze":[35,48],"to":[38,111],"remove":[39,116,130],"instead.":[41],"However,":[42],"there":[43],"exist":[44],"some":[45],"differences":[46],"between":[47],"(e.g.":[51],"particle":[52],"properties":[53],"localization).":[55],"Thus,":[56],"a":[57,72],"dehaze":[58],"algorithm":[59,76,106,127,140,146],"has":[61],"limited":[62],"removal.":[66],"In":[67],"this":[68],"paper,":[69],"propose":[71],"novel":[73],"based":[77],"machine":[79],"learning":[80],"detection":[83],"techniques.":[84],"Moreover,":[85,132],"observed":[87],"that":[88,124],"intensity":[90],"distributions":[91],"not":[93],"same":[95],"different":[97],"color":[98,113],"channels":[99,120],"in":[100],"smoky":[101],"images.":[102,149],"Therefore,":[103],"proposed":[105,126,139],"trains":[107],"models":[109],"corresponding":[110],"each":[112],"channel":[114],"RGB":[119],"separately.":[121],"Simulations":[122],"show":[123],"can":[128],"significantly":[129],"smoke.":[131],"as":[133,135],"know,":[137],"is":[141],"first":[143],"static":[148]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
