{"id":"https://openalex.org/W4406610295","doi":"https://doi.org/10.1109/tip.2025.3529376","title":"SARLBP: Scale Adaptive Robust Local Binary Patterns for Texture Representation","display_name":"SARLBP: Scale Adaptive Robust Local Binary Patterns for Texture Representation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406610295","doi":"https://doi.org/10.1109/tip.2025.3529376","pmid":"https://pubmed.ncbi.nlm.nih.gov/40031235"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3529376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3529376","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5005062940","display_name":"Parth C Upadhyay","orcid":"https://orcid.org/0009-0002-9000-3442"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Parth C. Upadhyay","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science (EECS), Vision-Guided and Intelligent Robotics (ViGIR) Laboratory, University of Missouri, Columbia, MO, USA"],"raw_orcid":"https://orcid.org/0009-0002-9000-3442","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science (EECS), Vision-Guided and Intelligent Robotics (ViGIR) Laboratory, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085284153","display_name":"John A. Lory","orcid":null},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John A. Lory","raw_affiliation_strings":["Division of Plant Sciences, University of Missouri, Columbia, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Plant Sciences, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089043471","display_name":"Guilherme N. DeSouza","orcid":"https://orcid.org/0000-0003-2138-5512"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guilherme N. DeSouza","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science (EECS), Vision-Guided and Intelligent Robotics (ViGIR) Laboratory, University of Missouri, Columbia, MO, USA"],"raw_orcid":"https://orcid.org/0000-0003-2138-5512","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science (EECS), Vision-Guided and Intelligent Robotics (ViGIR) Laboratory, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76835614"],"apc_list":null,"apc_paid":null,"fwci":4.1281,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.94133398,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"34","issue":null,"first_page":"969","last_page":"981"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9930999875068665,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9782999753952026,"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":0.6304334402084351},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.5949652194976807},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5930392742156982},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5913026928901672},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5265657901763916},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5234003663063049},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.49237191677093506},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.48253414034843445},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4744497239589691},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.389457643032074},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3342842161655426},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.2110288441181183},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2106836438179016},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.0911954939365387},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07846549153327942}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6304334402084351},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.5949652194976807},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5930392742156982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5913026928901672},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5265657901763916},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5234003663063049},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.49237191677093506},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.48253414034843445},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4744497239589691},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.389457643032074},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3342842161655426},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.2110288441181183},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2106836438179016},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0911954939365387},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07846549153327942},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3529376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3529376","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:40031235","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40031235","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W150914396","https://openalex.org/W1589574887","https://openalex.org/W1607979445","https://openalex.org/W1621991092","https://openalex.org/W1825459403","https://openalex.org/W1975959625","https://openalex.org/W1993655741","https://openalex.org/W1996015351","https://openalex.org/W2000123870","https://openalex.org/W2015159529","https://openalex.org/W2020681746","https://openalex.org/W2022274350","https://openalex.org/W2028735463","https://openalex.org/W2058021621","https://openalex.org/W2058160332","https://openalex.org/W2096171208","https://openalex.org/W2097290407","https://openalex.org/W2103496373","https://openalex.org/W2121807534","https://openalex.org/W2131081720","https://openalex.org/W2133327040","https://openalex.org/W2147141800","https://openalex.org/W2152773182","https://openalex.org/W2163352848","https://openalex.org/W2171134985","https://openalex.org/W2172196609","https://openalex.org/W2215003561","https://openalex.org/W2293457052","https://openalex.org/W2518260411","https://openalex.org/W2583894904","https://openalex.org/W2805755230","https://openalex.org/W2895238724","https://openalex.org/W2994177927","https://openalex.org/W4293768955"],"related_works":["https://openalex.org/W3204374377","https://openalex.org/W1823469724","https://openalex.org/W4360784979","https://openalex.org/W2151854763","https://openalex.org/W2373150368","https://openalex.org/W2204605857","https://openalex.org/W1996489018","https://openalex.org/W2007664797","https://openalex.org/W2783118371","https://openalex.org/W2120981610"],"abstract_inverted_index":{"Local":[0],"Binary":[1],"Pattern":[2],"(LBP)":[3],"and":[4,17,38,67,126,138,161,181,187,197],"its":[5],"variants":[6,215],"have":[7],"considerable":[8],"success":[9],"in":[10,22],"a":[11,46,68,87,155,159,217],"wide":[12],"range":[13],"of":[14,79,116,150,164,189,193],"computer":[15],"vision":[16],"pattern":[18],"recognition":[19],"applications,":[20],"especially":[21],"tasks":[23],"related":[24],"to":[25,34,40,75],"texture":[26,48,133,166,176],"classification.":[27],"However,":[28],"the":[29,77,100,147,151,165,185],"LBP":[30,55,81],"method":[31,84,130,206],"is":[32,73],"sensitive":[33],"noise,":[35],"scale":[36,90,143],"variations":[37],"unable":[39],"capture":[41],"macro-structure":[42],"information.":[43],"We":[44],"propose":[45],"novel":[47,69],"classification":[49],"descriptor":[50,106],"called":[51],"Scale":[52],"Adaptive":[53],"Robust":[54],"(SARLBP)":[56],"that":[57,203],"enhances":[58],"macro-level":[59],"descriptive":[60],"information":[61,134],"by":[62,141],"incorporating":[63],"significantly":[64,208],"larger":[65],"scales,":[66],"encoding":[70],"scheme,":[71],"which":[72],"designed":[74],"overcome":[76],"limitations":[78],"traditional":[80],"schemes.":[82],"SARLBP":[83,205],"dynamically":[85],"determines":[86],"single":[88],"optimal":[89],"for":[91],"each":[92],"radial":[93],"direction":[94],"from":[95,112],"multiple":[96],"scales":[97,140],"based":[98,145],"on":[99,146,172],"local":[101,152],"area's":[102],"characteristics.":[103],"Subsequently,":[104],"this":[105],"extracts":[107],"four":[108,173],"distinct":[109,191],"patterns":[110],"derived":[111],"regional":[113],"image":[114],"medians":[115],"center":[117],"pixel,":[118],"radially-optimized":[119],"neighbor":[120],"pixels,":[121,125],"optimized":[122],"fixed":[123,218],"scale-based":[124],"radial-difference-based":[127],"pixels.":[128],"This":[129],"adeptly":[131],"captures":[132],"at":[135],"both":[136,184],"micro":[137],"macro":[139],"employing":[142],"adaptation":[144],"distinctive":[148],"attributes":[149],"region.":[153],"As":[154],"result,":[156],"it":[157],"provides":[158],"comprehensive":[160],"robust":[162],"representation":[163],"images.":[167],"Extensive":[168],"experimentation":[169],"was":[170],"conducted":[171],"publicly":[174],"available":[175],"databases":[177],"(ALOT,":[178],"CUReT,":[179],"UMD,":[180],"Kylberg),":[182],"considering":[183],"presence":[186],"absence":[188],"two":[190],"types":[192],"interference":[194],"(Gaussian":[195],"noise":[196],"Salt-and-Pepper":[198],"noise).":[199],"The":[200],"results":[201],"reveal":[202],"our":[204],"achieves":[207],"better":[209],"performance":[210],"than":[211],"other":[212],"state-of-the-art":[213],"LPB":[214],"with":[216],"smaller":[219],"feature":[220],"dimension.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4}],"updated_date":"2026-08-08T07:41:36.138363","created_date":"2025-10-10T00:00:00"}