{"id":"https://openalex.org/W2145710047","doi":"https://doi.org/10.1109/iros.2004.1389819","title":"Change detection using a statistical model of the noise in color images","display_name":"Change detection using a statistical model of the noise in color images","publication_year":2005,"publication_date":"2005-04-01","ids":{"openalex":"https://openalex.org/W2145710047","doi":"https://doi.org/10.1109/iros.2004.1389819","mag":"2145710047"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2004.1389819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2004.1389819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566)","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/A5060901163","display_name":"Youngbae Hwang","orcid":"https://orcid.org/0000-0002-3400-0493"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngbae Hwang","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","Dept. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol. Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Dept. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol. Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081927157","display_name":"Jun-Sik Kim","orcid":"https://orcid.org/0000-0003-3810-8474"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jun-Sik Kim","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","Dept. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol. Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Dept. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol. Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109038486","display_name":"In-So Kweon","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Inso Kweon","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","Dept. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol. Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Dept. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol. Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4057,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.90599429,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"2713","last_page":"2718"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9878000020980835,"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":0.9878000020980835,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9599000215530396,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9347000122070312,"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":0.731033980846405},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6637200117111206},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6131598353385925},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.5635632872581482},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.541225790977478},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5397563576698303},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5262880921363831},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5137683153152466},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47986429929733276},{"id":"https://openalex.org/keywords/color-model","display_name":"Color model","score":0.4632016718387604},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4582712948322296},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4542151689529419},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35044679045677185},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28053802251815796}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.731033980846405},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6637200117111206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6131598353385925},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.5635632872581482},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.541225790977478},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5397563576698303},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5262880921363831},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5137683153152466},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47986429929733276},{"id":"https://openalex.org/C36262787","wikidata":"https://www.wikidata.org/wiki/Q2294018","display_name":"Color model","level":4,"score":0.4632016718387604},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4582712948322296},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4542151689529419},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35044679045677185},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28053802251815796}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2004.1389819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2004.1389819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1879630692","https://openalex.org/W1891609420","https://openalex.org/W2039205052","https://openalex.org/W2070630810","https://openalex.org/W2081071612","https://openalex.org/W2096800214","https://openalex.org/W2137397284","https://openalex.org/W2138779956","https://openalex.org/W2140235142","https://openalex.org/W2143516773","https://openalex.org/W2144967509","https://openalex.org/W2148290050","https://openalex.org/W2149662630","https://openalex.org/W2160001871","https://openalex.org/W2164208630","https://openalex.org/W4251433603","https://openalex.org/W6639426227","https://openalex.org/W6683661811"],"related_works":["https://openalex.org/W2049757131","https://openalex.org/W2072998265","https://openalex.org/W4255532429","https://openalex.org/W2352937602","https://openalex.org/W2089080948","https://openalex.org/W2359635083","https://openalex.org/W1977788373","https://openalex.org/W2589042415","https://openalex.org/W2894121257","https://openalex.org/W2358928244"],"abstract_inverted_index":{"We":[0,57,101],"present":[1,76],"a":[2,8,54,77],"novel":[3],"change":[4,16,42],"detection":[5,17,43,55],"method":[6,136],"using":[7,110],"statistical":[9],"model":[10,80],"of":[11,63,93,149],"the":[12,38,59,68,91,94,104,117,133,140,147],"image":[13],"noise.":[14],"Most":[15],"methods":[18],"are":[19],"based":[20],"on":[21],"gray-level":[22],"images.":[23,73],"However,":[24],"color":[25,39,51,61,83,96],"images":[26,40],"can":[27,89,102],"provide":[28],"much":[29],"richer":[30],"scene":[31],"information.":[32],"One":[33],"major":[34],"problem":[35],"to":[36,46,66,107],"use":[37,58,116],"in":[41,50],"is":[44],"how":[45],"combine":[47],"three":[48,64],"components":[49],"space":[52],"as":[53],"cue.":[56],"Euclidean":[60,95],"distance":[62,97],"channels":[65],"measure":[67],"difference":[69],"between":[70],"two":[71],"consecutive":[72],"Specifically,":[74],"we":[75,88,115,131],"new":[78],"noise":[79],"for":[81,98],"each":[82],"channel.":[84],"Through":[85],"this":[86,111],"modeling":[87],"estimate":[90],"distribution":[92],"unchanged":[99],"regions.":[100],"find":[103],"optimal":[105,118],"threshold":[106],"detect":[108],"changes":[109],"estimated":[112],"distribution.":[113],"Although":[114],"threshold,":[119],"inevitably":[120],"there":[121],"may":[122],"be":[123],"false":[124],"classifications.":[125],"To":[126],"reject":[127],"these":[128],"erroneous":[129],"cases,":[130],"adopt":[132],"graph":[134],"cuts":[135],"that":[137],"efficiently":[138],"minimizes":[139],"global":[141],"energy,":[142],"which":[143],"takes":[144],"into":[145],"account":[146],"effect":[148],"neighboring":[150],"pixels.":[151]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
