{"id":"https://openalex.org/W3178914596","doi":"https://doi.org/10.3724/sp.j.1089.2020.18251","title":"Texture Image Classification Based on Local Sorted Difference Refinement Pattern","display_name":"Texture Image Classification Based on Local Sorted Difference Refinement Pattern","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3178914596","doi":"https://doi.org/10.3724/sp.j.1089.2020.18251","mag":"3178914596"},"language":"en","primary_location":{"id":"doi:10.3724/sp.j.1089.2020.18251","doi":"https://doi.org/10.3724/sp.j.1089.2020.18251","is_oa":false,"landing_page_url":"https://doi.org/10.3724/sp.j.1089.2020.18251","pdf_url":null,"source":{"id":"https://openalex.org/S4210220856","display_name":"Journal of Computer-Aided Design & Computer Graphics","issn_l":"1003-9775","issn":["1003-9775"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20","russia-white-list-4"],"host_organization":"https://openalex.org/P4310319982","host_organization_name":"Science Press","host_organization_lineage":["https://openalex.org/P4310319982"],"host_organization_lineage_names":["Science Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computer-Aided Design & Computer Graphics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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":null,"display_name":"Xin Shu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Shu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Hui Pan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hui Pan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016886823","display_name":"Changbin Shao","orcid":"https://orcid.org/0000-0003-3417-2727","observed_orcids":["https://orcid.org/0000-0003-3417-2727"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Changbin Shao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006827694","display_name":"Jinlong Shi","orcid":"https://orcid.org/0000-0002-0196-6398","observed_orcids":["https://orcid.org/0000-0002-0196-6398"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinlong Shi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5087450445","display_name":"Xiao\u2010Jun Wu","orcid":"https://orcid.org/0000-0002-0310-5778","observed_orcids":["https://orcid.org/0000-0002-0310-5778"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaojun Wu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.168,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.41682256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"32","issue":"12","first_page":"1948","last_page":"1956"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.0,"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/texture-classification","display_name":"texture classification","score":0.8500000238418579},{"id":"https://openalex.org/keywords/local-binary-pattern","display_name":"local binary pattern","score":0.9200000166893005},{"id":"https://openalex.org/keywords/texture-features","display_name":"texture features","score":0.5350000262260437},{"id":"https://openalex.org/keywords/gaussian-filter","display_name":"Gaussian filtering","score":0.6230000257492065},{"id":"https://openalex.org/keywords/multiscale-feature-fusion","display_name":"multi-scale feature fusion","score":0.6309999823570251},{"id":"https://openalex.org/keywords/rotation-invariance","display_name":"rotation invariance","score":0.7620000243186951},{"id":"https://openalex.org/keywords/illumination-invariance","display_name":"illumination invariance","score":0.8700000047683716},{"id":"https://openalex.org/keywords/low-dimensional-features","display_name":"low-dimensional feature representation","score":0.6499999761581421}],"concepts":[{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6728249788284302},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5746027231216431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5589414238929749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5058595538139343},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4939911961555481},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4482986629009247},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.399050772190094},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.21619167923927307}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3724/sp.j.1089.2020.18251","doi":"https://doi.org/10.3724/sp.j.1089.2020.18251","is_oa":false,"landing_page_url":"https://doi.org/10.3724/sp.j.1089.2020.18251","pdf_url":null,"source":{"id":"https://openalex.org/S4210220856","display_name":"Journal of Computer-Aided Design & Computer Graphics","issn_l":"1003-9775","issn":["1003-9775"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20","russia-white-list-4"],"host_organization":"https://openalex.org/P4310319982","host_organization_name":"Science Press","host_organization_lineage":["https://openalex.org/P4310319982"],"host_organization_lineage_names":["Science Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computer-Aided Design & Computer Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2588642790","https://openalex.org/W4403968561","https://openalex.org/W1975959625","https://openalex.org/W4282936531","https://openalex.org/W2531045332","https://openalex.org/W4313057959","https://openalex.org/W2401362358","https://openalex.org/W7140042426","https://openalex.org/W2119172643","https://openalex.org/W2618373950"],"abstract_inverted_index":{"The":[0,127],"traditional":[1],"local":[2,25,33,63,82],"binary":[3,93],"pattern":[4,37],"and":[5,27,60,114,133,146,150,167,173],"its":[6],"variants":[7],"have":[8],"some":[9],"shortcomings,":[10],"such":[11],"as":[12],"high":[13],"feature":[14,98,118],"dimensions,":[15],"not":[16],"fully":[17],"considering":[18],"the":[19,41,46,57,62,71,75,81,87,91,96,101,105,111,115,124,139,161,170],"difference":[20,35,76],"between":[21,77],"neighboring":[22,78],"pixels":[23,79],"in":[24,80,104],"areas":[26],"etc.":[28],"We":[29],"propose":[30],"a":[31],"novel":[32],"sorted":[34,68,92],"refinement":[36],"(LSDRP)":[38],"to":[39,56,70,109,122,144,148],"overcome":[40],"above":[42],"mentioned":[43],"deficiencies.":[44],"Firstly,":[45],"texture":[47,112,135,175],"image":[48,113,125],"is":[49,84,142,157],"filtered":[50],"with":[51,153],"different":[52],"Gaussian":[53],"filters":[54],"according":[55,69],"sampling":[58,65],"radius,":[59],"then":[61],"neighborhood":[64],"points":[66],"are":[67,107,120,164],"pixel":[72],"value.":[73],"Secondly,":[74],"area":[83],"integrated":[85],"into":[86],"corresponding":[88],"weight":[89],"of":[90],"code":[94],"for":[95],"LSDRP":[97,106,117],"generation.":[99],"Finally,":[100],"high-frequency":[102],"patterns":[103],"selected":[108],"represent":[110],"multi-scale":[116],"vector":[119],"cascaded":[121],"describe":[123],"texture.":[126],"experimental":[128],"results":[129],"on":[130,169],"Outex,":[131],"CUReT":[132],"UMD":[134],"datasets":[136],"show":[137],"that":[138,160],"proposed":[140],"method":[141],"simple":[143],"calculate":[145],"robust":[147],"illumination":[149],"rotation":[151],"variant":[152],"low-dimensional":[154],"features.":[155],"It":[156],"worth":[158],"noting":[159],"classification":[162],"accuracies":[163],"100%,":[165],"99.38%,":[166],"99.72%":[168],"TC10,":[171],"TC12_000,":[172],"TC12_001":[174],"datasets,":[176],"respectively.":[177]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2021-07-19T00:00:00"}