{"id":"https://openalex.org/W2805306794","doi":"https://doi.org/10.1109/access.2018.2842078","title":"A Multiresolution Gray-Scale and Rotation Invariant Descriptor for Texture Classification","display_name":"A Multiresolution Gray-Scale and Rotation Invariant Descriptor for Texture Classification","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2805306794","doi":"https://doi.org/10.1109/access.2018.2842078","mag":"2805306794"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2842078","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2842078","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2842078","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051269393","display_name":"Qiqi Kou","orcid":"https://orcid.org/0000-0003-2873-2636"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiqi Kou","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078848398","display_name":"Deqiang Cheng","orcid":"https://orcid.org/0000-0002-4475-845X"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deqiang Cheng","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100729603","display_name":"Liangliang Chen","orcid":"https://orcid.org/0000-0001-9097-0657"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangliang Chen","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078276127","display_name":"Kai Zhao","orcid":"https://orcid.org/0000-0002-2496-0829"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhao","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051269393"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.4026,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.91993425,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"30691","last_page":"30701"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9919999837875366,"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":0.9706000089645386,"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":0.8546972274780273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6678819060325623},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6209574341773987},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5933755040168762},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5242434144020081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48268914222717285},{"id":"https://openalex.org/keywords/scale-invariance","display_name":"Scale invariance","score":0.4616265594959259},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45703187584877014},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40584078431129456},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.350345641374588},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.1524057388305664},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10700929164886475},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09515982866287231}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.8546972274780273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6678819060325623},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6209574341773987},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5933755040168762},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5242434144020081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48268914222717285},{"id":"https://openalex.org/C135593079","wikidata":"https://www.wikidata.org/wiki/Q1750766","display_name":"Scale invariance","level":2,"score":0.4616265594959259},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45703187584877014},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40584078431129456},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.350345641374588},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.1524057388305664},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10700929164886475},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09515982866287231},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2842078","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2842078","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3010607696304cd69a70fb7a6b07cacc","is_oa":true,"landing_page_url":"https://doaj.org/article/3010607696304cd69a70fb7a6b07cacc","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 30691-30701 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2842078","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2842078","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G4362366308","display_name":null,"funder_award_id":"51774281","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W16018159","https://openalex.org/W1260645847","https://openalex.org/W1565212980","https://openalex.org/W1586885484","https://openalex.org/W1621991092","https://openalex.org/W1968901737","https://openalex.org/W1971877752","https://openalex.org/W1975959625","https://openalex.org/W1985636418","https://openalex.org/W1996015351","https://openalex.org/W2000123870","https://openalex.org/W2003067321","https://openalex.org/W2003090219","https://openalex.org/W2016291785","https://openalex.org/W2022274350","https://openalex.org/W2022649923","https://openalex.org/W2038777412","https://openalex.org/W2045620328","https://openalex.org/W2046320894","https://openalex.org/W2052446636","https://openalex.org/W2053544201","https://openalex.org/W2058021621","https://openalex.org/W2058160332","https://openalex.org/W2059432853","https://openalex.org/W2065301447","https://openalex.org/W2068424163","https://openalex.org/W2098017479","https://openalex.org/W2103496373","https://openalex.org/W2106145073","https://openalex.org/W2108082645","https://openalex.org/W2126060993","https://openalex.org/W2130465160","https://openalex.org/W2130844249","https://openalex.org/W2131081720","https://openalex.org/W2136218851","https://openalex.org/W2147141800","https://openalex.org/W2152548630","https://openalex.org/W2153545592","https://openalex.org/W2156598602","https://openalex.org/W2159988601","https://openalex.org/W2163352848","https://openalex.org/W2182415974","https://openalex.org/W2215003561","https://openalex.org/W2293457052","https://openalex.org/W2304250463","https://openalex.org/W2403892429","https://openalex.org/W2572859442","https://openalex.org/W2588869012","https://openalex.org/W2608475714","https://openalex.org/W2608589650","https://openalex.org/W2618373950","https://openalex.org/W2662834249","https://openalex.org/W2735124194","https://openalex.org/W2767635982","https://openalex.org/W2793767092","https://openalex.org/W4283014504","https://openalex.org/W6736895449"],"related_works":["https://openalex.org/W1978011637","https://openalex.org/W1976280679","https://openalex.org/W3211626993","https://openalex.org/W2122718025","https://openalex.org/W2900460335","https://openalex.org/W2169521742","https://openalex.org/W771773272","https://openalex.org/W1972817643","https://openalex.org/W3128113522","https://openalex.org/W2508787685"],"abstract_inverted_index":{"Texture":[0],"classification":[1,39,173,209],"algorithms":[2],"using":[3],"local":[4,89],"binary":[5],"pattern":[6],"(LBP)":[7],"and":[8,58,76,113,161],"its":[9],"variants":[10,26],"usually":[11],"can":[12,104],"achieve":[13],"attractive":[14],"results.":[15],"However,":[16],"the":[17,38,54,73,118,123,138,142,147,169,191,208,212],"selected":[18],"rotation":[19,34,59,96,151],"invariant":[20,31,60],"structural":[21],"patterns":[22],"in":[23,44,65,83],"numerous":[24],"LBP":[25,67,75,78],"are":[27,81],"not":[28],"absolutely":[29],"continuous":[30,95],"to":[32,86,93,167],"any":[33],"angle.":[35],"To":[36],"improve":[37,168],"effectiveness":[40],"on":[41,53,216],"this":[42,45,84],"occasion,":[43],"paper,":[46],"we":[47],"introduce":[48],"a":[49,126,176,201],"robust":[50],"descriptor":[51,145],"based":[52],"principal":[55],"curvatures":[56],"(PCs)":[57],"version":[61],"of":[62,122,149,159,171,204,211],"CLBP_Sign":[63,124],"operator":[64,128],"completed":[66],"(CLBP),":[68],"namely":[69],"PC-LBP.":[70],"Different":[71],"from":[72,137],"original":[74],"many":[77],"variants,":[79],"PCs":[80],"employed":[82],"paper":[85],"represent":[87],"each":[88],"structure":[90],"information":[91,103,135],"due":[92],"their":[94],"invariance.":[97],"Simultaneously,":[98],"both":[99],"micro-and":[100],"macro-structure":[101],"texture":[102,172],"also":[105],"be":[106],"captured":[107],"through":[108],"PCs,":[109],"which":[110],"comprise":[111],"maximum":[112],"minimum":[114],"curvatures.":[115],"Inspired":[116],"by":[117,182],"similar":[119],"coding":[120],"strategy":[121],"operator,":[125],"new":[127],"CLBP_PC":[129],"is":[130,180,220],"developed.":[131],"By":[132],"exploiting":[133],"complementary":[134],"resulting":[136],"two":[139],"operators":[140],"combination,":[141],"final":[143],"PC-LBP":[144,194],"has":[146],"properties":[148],"conspicuous":[150],"invariance,":[152,157],"strong":[153],"discriminativeness,":[154],"gray":[155],"scale":[156],"needless":[158],"pretraining,":[160],"high":[162],"computational":[163],"efficiency.":[164],"In":[165],"addition,":[166],"robustness":[170],"with":[174],"multiresolution,":[175],"multiscale":[177],"sampling":[178],"approach":[179,195],"designed":[181],"adjusting":[183],"three":[184],"parameters":[185],"accordingly.":[186],"Experimental":[187],"results":[188],"demonstrate":[189],"that":[190],"proposed":[192,213],"multiresolution":[193],"achieves":[196],"comparable":[197],"performance":[198],"or":[199],"outperforms":[200],"large":[202],"number":[203],"state-of-the-art":[205],"methods.":[206],"Impressively,":[207],"accuracy":[210],"method":[214],"performed":[215],"Outex_TC_00010":[217],"test":[218],"suite":[219],"100%.":[221]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
