{"id":"https://openalex.org/W2047606869","doi":"https://doi.org/10.1109/saci.2013.6608962","title":"Image classification using local binary pattern operators for static images","display_name":"Image classification using local binary pattern operators for static images","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2047606869","doi":"https://doi.org/10.1109/saci.2013.6608962","mag":"2047606869"},"language":"en","primary_location":{"id":"doi:10.1109/saci.2013.6608962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci.2013.6608962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI)","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/A5066296798","display_name":"Oana Astrid Vatamanu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088791","display_name":"Victor Babe\u0219 University of Medicine and Pharmacy Timi\u0219oara","ror":"https://ror.org/00afdp487","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210088791"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Oana Astrid Vatamanu","raw_affiliation_strings":["University of Medicine and Pharmacy Victor Babes, Timisoara, Romania","Dept. of Med. Inf., Univ. of Med. & Pharmacy \u201cVictor Babes\u201d, Timisoara, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Medicine and Pharmacy Victor Babes, Timisoara, Romania","institution_ids":["https://openalex.org/I4210088791"]},{"raw_affiliation_string":"Dept. of Med. Inf., Univ. of Med. & Pharmacy \u201cVictor Babes\u201d, Timisoara, Romania","institution_ids":["https://openalex.org/I4210088791"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058729758","display_name":"Mircea Jivulescu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088791","display_name":"Victor Babe\u0219 University of Medicine and Pharmacy Timi\u0219oara","ror":"https://ror.org/00afdp487","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210088791"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Mircea Jivulescu","raw_affiliation_strings":["University of Medicine and Pharmacy Victor Babes, Timisoara, Romania","Dept. of Med. Inf., Univ. of Med. & Pharmacy \u201cVictor Babes\u201d, Timisoara, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Medicine and Pharmacy Victor Babes, Timisoara, Romania","institution_ids":["https://openalex.org/I4210088791"]},{"raw_affiliation_string":"Dept. of Med. Inf., Univ. of Med. & Pharmacy \u201cVictor Babes\u201d, Timisoara, Romania","institution_ids":["https://openalex.org/I4210088791"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210088791"],"apc_list":null,"apc_paid":null,"fwci":0.4157,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.59919441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"40","issue":null,"first_page":"173","last_page":"178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9973000288009644,"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":0.9973000288009644,"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":0.9670000076293945,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9563999772071838,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7080819010734558},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.6997379064559937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6859469413757324},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5577197074890137},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5521135926246643},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5336699485778809},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5145118236541748},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5055210590362549},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4853452742099762},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.484164297580719},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.4700697064399719},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43679213523864746},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43236130475997925},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3879239857196808},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3697577118873596},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.15695565938949585}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7080819010734558},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.6997379064559937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6859469413757324},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5577197074890137},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5521135926246643},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5336699485778809},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5145118236541748},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5055210590362549},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4853452742099762},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.484164297580719},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.4700697064399719},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43679213523864746},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43236130475997925},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3879239857196808},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3697577118873596},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.15695565938949585},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/saci.2013.6608962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci.2013.6608962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W33189562","https://openalex.org/W1516748092","https://openalex.org/W1993655741","https://openalex.org/W2028652181","https://openalex.org/W2039051707","https://openalex.org/W2066448268","https://openalex.org/W2089575713","https://openalex.org/W2099816072","https://openalex.org/W2108082645","https://openalex.org/W2108342948","https://openalex.org/W2132431233","https://openalex.org/W2135994945","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2163808566","https://openalex.org/W2172196609","https://openalex.org/W2911956715","https://openalex.org/W4293768955","https://openalex.org/W6758657058"],"related_works":["https://openalex.org/W1823469724","https://openalex.org/W2373150368","https://openalex.org/W2151854763","https://openalex.org/W2783118371","https://openalex.org/W2766950897","https://openalex.org/W3011503342","https://openalex.org/W3204374377","https://openalex.org/W2139957893","https://openalex.org/W2397661019","https://openalex.org/W4391096660"],"abstract_inverted_index":{"This":[0],"paper":[1],"aims":[2],"to":[3,67,71,115],"present":[4,157],"an":[5,19,59,68,82,97],"image":[6,41,69,98,128],"classification":[7],"method":[8],"using":[9],"Local":[10,14],"Binary":[11,15],"Pattern":[12,16],"techniques.":[13],"operator":[17],"transforms":[18],"static":[20,60],"image,":[21],"at":[22,42],"pixel":[23],"level,":[24],"into":[25,150],"a":[26,43,55,72,100,116,141],"matrix":[27],"of":[28,52,58,74,84,96,102,113,120,154],"labels.":[29],"These":[30,62],"labels":[31,53],"-":[32,35],"integer":[33],"numbers":[34],"describe":[36],"and":[37,76,110,127,130,137],"characterise":[38],"the":[39,50,77,88,94,105,111,152,155,159],"original":[40],"much":[44],"lower":[45],"scale.":[46],"The":[47,90],"authors":[48],"propose":[49],"use":[51],"as":[54],"global":[56],"characteristic":[57],"image.":[61,160],"techniques":[63],"can":[64],"be":[65],"applied":[66],"or":[70,99],"group":[73],"images":[75,109,126],"characterization":[78,95],"is":[79,133],"done":[80],"through":[81],"array":[83],"values":[85,121],"extracted":[86],"by":[87],"algorithm.":[89],"application":[91],"developed":[92],"allows":[93],"set":[101],"images,":[103,148],"determining":[104],"similarity":[106],"between":[107],"different":[108,135],"degree":[112],"belonging":[114],"particular":[117],"group.":[118],"Vectors":[119],"are":[122],"required":[123],"for":[124],"more":[125],"groups":[129],"each":[131],"vector":[132],"representing":[134],"textures":[136],"their":[138],"classification.":[139],"As":[140],"result":[142],"it":[143],"becomes":[144],"possible":[145],"that":[146],"indexing":[147],"take":[149],"account":[151],"content":[153],"information":[156],"in":[158]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
