{"id":"https://openalex.org/W1851080149","doi":"https://doi.org/10.1109/lsp.2015.2461026","title":"Robust Texture Classification by Aggregating Pixel-Based LBP Statistics","display_name":"Robust Texture Classification by Aggregating Pixel-Based LBP Statistics","publication_year":2015,"publication_date":"2015-07-27","ids":{"openalex":"https://openalex.org/W1851080149","doi":"https://doi.org/10.1109/lsp.2015.2461026","mag":"1851080149"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2015.2461026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2015.2461026","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5033597391","display_name":"Melissa Cote","orcid":"https://orcid.org/0000-0002-5594-977X"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Melissa Cote","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada","Department of Electrical and, Computer Engineering University of Victoria, Victoria, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada","institution_ids":["https://openalex.org/I212119943"]},{"raw_affiliation_string":"Department of Electrical and, Computer Engineering University of Victoria, Victoria, Canada","institution_ids":["https://openalex.org/I212119943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036029722","display_name":"Alexandra Branzan Albu","orcid":"https://orcid.org/0000-0001-8991-0999"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alexandra Branzan Albu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada","Department of Electrical and, Computer Engineering University of Victoria, Victoria, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada","institution_ids":["https://openalex.org/I212119943"]},{"raw_affiliation_string":"Department of Electrical and, Computer Engineering University of Victoria, Victoria, Canada","institution_ids":["https://openalex.org/I212119943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6849,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.89167815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"22","issue":"11","first_page":"2102","last_page":"2106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9990000128746033,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.964900016784668,"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/local-binary-patterns","display_name":"Local binary patterns","score":0.9186238646507263},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8048712015151978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7233014106750488},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7031194567680359},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.681882381439209},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6618598699569702},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6293800473213196},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5213476419448853},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5054306983947754},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47199347615242004},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4354691505432129},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.388333261013031},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.2388421893119812},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23802709579467773}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.9186238646507263},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8048712015151978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7233014106750488},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7031194567680359},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.681882381439209},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6618598699569702},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6293800473213196},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5213476419448853},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5054306983947754},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47199347615242004},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4354691505432129},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.388333261013031},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2388421893119812},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23802709579467773},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2015.2461026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2015.2461026","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7300000190734863}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W82679236","https://openalex.org/W1499486838","https://openalex.org/W1516748092","https://openalex.org/W1975959625","https://openalex.org/W1979295021","https://openalex.org/W2031542510","https://openalex.org/W2039051707","https://openalex.org/W2044465660","https://openalex.org/W2045678056","https://openalex.org/W2069481589","https://openalex.org/W2090050880","https://openalex.org/W2107265320","https://openalex.org/W2132409053","https://openalex.org/W2134233211","https://openalex.org/W2147141800","https://openalex.org/W2155662634","https://openalex.org/W2159988601","https://openalex.org/W2163352848","https://openalex.org/W2163808566","https://openalex.org/W2172196609","https://openalex.org/W4293768955"],"related_works":["https://openalex.org/W1990254706","https://openalex.org/W1972656095","https://openalex.org/W2560749169","https://openalex.org/W1966028303","https://openalex.org/W2537156416","https://openalex.org/W2016839265","https://openalex.org/W1996809418","https://openalex.org/W2020967408","https://openalex.org/W1851080149","https://openalex.org/W4232062139"],"abstract_inverted_index":{"This":[0],"letter":[1],"addresses":[2],"the":[3,70,97,136,157,162],"texture":[4,18,42,50,65],"classification":[5,24,66,149],"problem":[6],"through":[7,107],"a":[8,40,63,100,108],"pixel-based":[9,138],"local":[10],"binary":[11],"pattern":[12],"(LBP)":[13],"statistics":[14,127],"aggregation":[15],"mechanism.":[16],"Real-world":[17],"images":[19],"often":[20],"present":[21],"challenges":[22],"for":[23,47,161,171],"algorithms":[25],"in":[26,115,146],"terms":[27,147],"of":[28,72,80,99,148],"intra-class":[29,81],"variability":[30],"due,":[31],"among":[32],"others,":[33],"to":[34,77,118,153],"variable":[35],"illumination.":[36],"The":[37,83],"LBP":[38,91,120,131,143,164,173],"operator,":[39],"state-of-the-art":[41],"descriptor,":[43],"possesses":[44],"key":[45],"properties":[46],"tackling":[48],"real-world":[49],"images:":[51],"discriminative":[52],"power":[53],"and":[54,94],"invariance":[55],"against":[56],"monotonic":[57],"gray":[58],"level":[59],"changes.":[60],"We":[61,133],"propose":[62],"novel":[64],"approach":[67,112,139],"that":[68,135],"increases":[69],"robustness":[71],"LBP-based":[73],"methods":[74],"with":[75,89,165],"respect":[76],"any":[78,119],"type":[79],"variations.":[82],"method":[84],"locally":[85],"characterizes":[86],"each":[87],"pixel":[88,105],"an":[90],"code":[92],"histogram":[93],"globally":[95],"computes":[96],"label":[98],"textured":[101],"image":[102],"by":[103,151],"aggregating":[104],"labels":[106],"voting":[109],"process.":[110],"Our":[111],"can":[113],"be":[114],"principle":[116],"applied":[117],"version,":[121],"as":[122,168,170],"it":[123],"focuses":[124],"on":[125,156],"how":[126],"are":[128],"computed":[129],"from":[130],"codes.":[132],"show":[134],"proposed":[137],"improves":[140],"upon":[141],"traditional":[142],"block-based":[144],"approaches":[145],"accuracy":[150],"up":[152],"5.1":[154],"p.p.":[155],"public":[158],"Outex":[159],"database":[160],"classic":[163],"various":[166,172],"neighborhoods":[167],"well":[169],"extensions.":[174]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
