{"id":"https://openalex.org/W2606253365","doi":"https://doi.org/10.1093/comjnl/bxx033","title":"Impulse-Noise Resistant Color-Texture Classification Approach Using Hybrid Color Local Binary Patterns and Kullback\u2013Leibler Divergence","display_name":"Impulse-Noise Resistant Color-Texture Classification Approach Using Hybrid Color Local Binary Patterns and Kullback\u2013Leibler Divergence","publication_year":2017,"publication_date":"2017-03-24","ids":{"openalex":"https://openalex.org/W2606253365","doi":"https://doi.org/10.1093/comjnl/bxx033","mag":"2606253365"},"language":"en","primary_location":{"id":"doi:10.1093/comjnl/bxx033","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxx033","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","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/A5091221287","display_name":"Shervan Fekri-Ershad","orcid":"https://orcid.org/0000-0003-1226-7610"},"institutions":[{"id":"https://openalex.org/I9256017","display_name":"Islamic Azad University of Najafabad","ror":"https://ror.org/015j7c446","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I9256017"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Shervan Fekri-Ershad","raw_affiliation_strings":["Faculty of Computer Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran","institution_ids":["https://openalex.org/I9256017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023349374","display_name":"Farshad Tajeripour","orcid":null},"institutions":[{"id":"https://openalex.org/I166459259","display_name":"Shiraz University","ror":"https://ror.org/028qtbk54","country_code":"IR","type":"education","lineage":["https://openalex.org/I166459259"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Farshad Tajeripour","raw_affiliation_strings":["Department of Computer Science, Engineering and IT, Shiraz University, Shiraz, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Engineering and IT, Shiraz University, Shiraz, Iran","institution_ids":["https://openalex.org/I166459259"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091221287"],"corresponding_institution_ids":["https://openalex.org/I9256017"],"apc_list":{"value":2635,"currency":"GBP","value_usd":3232},"apc_paid":null,"fwci":1.0923,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.85941521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"60","issue":"11","first_page":"1633","last_page":"1648"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9922999739646912,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/local-binary-patterns","display_name":"Local binary patterns","score":0.9121395349502563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7607134580612183},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.676227867603302},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6559367179870605},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4919097423553467},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.483862042427063},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.4198992848396301},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3094256520271301},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.27640300989151},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.25559091567993164},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1480368673801422}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.9121395349502563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7607134580612183},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.676227867603302},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6559367179870605},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4919097423553467},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.483862042427063},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.4198992848396301},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3094256520271301},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.27640300989151},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.25559091567993164},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1480368673801422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/comjnl/bxx033","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxx033","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","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":23,"referenced_works":["https://openalex.org/W1545320836","https://openalex.org/W1553085054","https://openalex.org/W1965555277","https://openalex.org/W1967891793","https://openalex.org/W1988627679","https://openalex.org/W1993655741","https://openalex.org/W2017695766","https://openalex.org/W2034856412","https://openalex.org/W2042144014","https://openalex.org/W2052446636","https://openalex.org/W2079756763","https://openalex.org/W2082723523","https://openalex.org/W2085138538","https://openalex.org/W2086055091","https://openalex.org/W2124296081","https://openalex.org/W2128212537","https://openalex.org/W2131081720","https://openalex.org/W2136367321","https://openalex.org/W2140798169","https://openalex.org/W2147141800","https://openalex.org/W2163352848","https://openalex.org/W2186104147","https://openalex.org/W2291192741"],"related_works":["https://openalex.org/W1976280679","https://openalex.org/W1978011637","https://openalex.org/W3211626993","https://openalex.org/W2122718025","https://openalex.org/W2169521742","https://openalex.org/W2900460335","https://openalex.org/W771773272","https://openalex.org/W4288057579","https://openalex.org/W2508787685","https://openalex.org/W3128113522"],"abstract_inverted_index":{"Texture":[0],"classification":[1,99,130],"is":[2,47,68,80,93,108,122,131,145,163,176],"an":[3,12,62,94,106,116],"active":[4],"topic":[5],"in":[6,15,37,100],"image":[7,20,28],"processing":[8],"that":[9,110,166],"can":[10],"play":[11],"important":[13],"role":[14],"many":[16,32],"applications":[17],"such":[18,40],"as":[19,41],"retrieval,":[21],"inspection":[22],"systems,":[23],"face":[24],"recognition":[25],"and":[26,57,193],"medical":[27],"processing.":[29],"There":[30],"are":[31,196],"approaches":[33],"extracting":[34],"texture":[35,98],"features":[36,73,91],"gray-level":[38],"images":[39],"local":[42,54,59],"binary":[43],"patterns":[44],"(LBP).":[45],"LBP":[46,72,121],"a":[48],"nonparametric":[49],"operator,":[50],"which":[51,124],"describes":[52],"the":[53,58,66,85,167,171,180,199],"spatial":[55],"structure":[56],"contrast":[60],"of":[61,65,84,89,112,120,182,198],"image.":[63],"One":[64],"challenges":[67],"how":[69],"to":[70,138],"combine":[71],"with":[74,158],"color":[75],"representations.":[76],"Impulse":[77],"noise":[78],"sensitivity":[79,192],"another":[81],"big":[82],"limitation":[83],"LBP.":[86],"The":[87,142],"use":[88],"color-texture":[90,127],"jointly":[92,126],"efficient":[95],"approach":[96,107,144,154,169],"for":[97],"colored":[101],"images.":[102],"In":[103],"this":[104],"paper,":[105],"proposed":[109,143,168,200],"consists":[111],"two":[113],"phases.":[114],"First,":[115],"impulse-noise":[117,191],"resistant":[118],"version":[119],"proposed,":[123],"extracts":[125],"features.":[128],"Second,":[129],"evaluated":[132,146],"based":[133,178],"on":[134,179],"Kullback\u2013Leibler":[135],"divergence":[136],"ratio":[137],"achieve":[139],"highest":[140,172],"accuracy.":[141,173],"using":[147],"Vistex,":[148],"Outex,":[149],"KTH-TIPS-2a":[150],"data":[151],"sets.":[152],"Our":[153],"has":[155],"been":[156],"compared":[157],"some":[159],"state-of-the-art":[160],"methods.":[161],"It":[162],"experimentally":[164],"demonstrated":[165],"achieves":[170],"Computational":[174],"complexity":[175],"computed":[177],"number":[181],"required":[183],"operations.":[184],"Low":[185],"computational":[186],"complexity,":[187],"rotation":[188],"invariant,":[189],"low":[190],"high":[194],"usability":[195],"advantages":[197],"approach.":[201]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}