{"id":"https://openalex.org/W2047287331","doi":"https://doi.org/10.1109/euvip.2014.7018367","title":"Texture matching using local and global descriptor","display_name":"Texture matching using local and global descriptor","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2047287331","doi":"https://doi.org/10.1109/euvip.2014.7018367","mag":"2047287331"},"language":"en","primary_location":{"id":"doi:10.1109/euvip.2014.7018367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip.2014.7018367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 5th European Workshop on Visual Information Processing (EUVIP)","raw_type":"proceedings-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/A5075716949","display_name":"Izem Hamouchene","orcid":"https://orcid.org/0000-0002-0022-1706"},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]},{"id":"https://openalex.org/I192268740","display_name":"University of Algiers Benyoucef Benkhedda","ror":"https://ror.org/011r6gp69","country_code":"DZ","type":"education","lineage":["https://openalex.org/I192268740"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Izem Hamouchene","raw_affiliation_strings":["Computer Science Department, USTHB University Algiers, Algeria","LRIA Laboratory, Computer Science Department, USTHB University, Algiers, Algeria"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, USTHB University Algiers, Algeria","institution_ids":["https://openalex.org/I192268740","https://openalex.org/I157169809"]},{"raw_affiliation_string":"LRIA Laboratory, Computer Science Department, USTHB University, Algiers, Algeria","institution_ids":["https://openalex.org/I192268740","https://openalex.org/I157169809"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029084257","display_name":"Saliha Aouat","orcid":"https://orcid.org/0000-0002-4022-9075"},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]},{"id":"https://openalex.org/I192268740","display_name":"University of Algiers Benyoucef Benkhedda","ror":"https://ror.org/011r6gp69","country_code":"DZ","type":"education","lineage":["https://openalex.org/I192268740"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Saliha Aouat","raw_affiliation_strings":["Computer Science Department, USTHB University Algiers, Algeria","LRIA Laboratory, Computer Science Department, USTHB University, Algiers, Algeria"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, USTHB University Algiers, Algeria","institution_ids":["https://openalex.org/I192268740","https://openalex.org/I157169809"]},{"raw_affiliation_string":"LRIA Laboratory, Computer Science Department, USTHB University, Algiers, Algeria","institution_ids":["https://openalex.org/I192268740","https://openalex.org/I157169809"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075716949"],"corresponding_institution_ids":["https://openalex.org/I157169809","https://openalex.org/I192268740"],"apc_list":null,"apc_paid":null,"fwci":0.2439,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58760108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9991999864578247,"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":0.9976999759674072,"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":0.7589172124862671},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7587685585021973},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.6764297485351562},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.611839771270752},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6035984754562378},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5897474884986877},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.555087149143219},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5537190437316895},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5163818597793579},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5114185214042664},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.510485053062439},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4971156418323517},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.47586697340011597},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.43847498297691345},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3322522044181824},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.260282039642334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15996605157852173}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7589172124862671},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7587685585021973},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.6764297485351562},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.611839771270752},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6035984754562378},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5897474884986877},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.555087149143219},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5537190437316895},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5163818597793579},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5114185214042664},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.510485053062439},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4971156418323517},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.47586697340011597},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.43847498297691345},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3322522044181824},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.260282039642334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15996605157852173},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/euvip.2014.7018367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip.2014.7018367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 5th European Workshop on Visual Information Processing (EUVIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W72365246","https://openalex.org/W1534662726","https://openalex.org/W1973040917","https://openalex.org/W1990317771","https://openalex.org/W2028652181","https://openalex.org/W2035139073","https://openalex.org/W2039051707","https://openalex.org/W2039376581","https://openalex.org/W2059432853","https://openalex.org/W2107265320","https://openalex.org/W2147141800","https://openalex.org/W4230946174","https://openalex.org/W4249426854"],"related_works":["https://openalex.org/W3204374377","https://openalex.org/W1823469724","https://openalex.org/W4360784979","https://openalex.org/W3017192027","https://openalex.org/W2204605857","https://openalex.org/W2373150368","https://openalex.org/W2151854763","https://openalex.org/W2783118371","https://openalex.org/W2044270176","https://openalex.org/W1996489018"],"abstract_inverted_index":{"Image":[0],"processing":[1,29],"is":[2,22,77,83,94,136],"one":[3],"of":[4,8,65,73,99,131,166,213],"the":[5,23,50,57,62,71,74,80,97,100,111,127,132,139,148,152,159,163,167,185,191,194,198,208,214],"important":[6,25],"areas":[7],"research,":[9],"which":[10],"provides":[11],"efficient":[12],"solutions":[13],"to":[14,85,120,202,206],"many":[15],"real":[16,36],"and":[17,79,117,174,193,204,210],"industrial":[18],"problems.":[19],"Texture":[20],"analysis":[21],"most":[24],"field":[26],"in":[27,35,184],"image":[28,58],"because":[30],"all":[31],"objects":[32],"are":[33],"textured":[34],"world.":[37],"In":[38],"this":[39],"work,":[40],"we":[41],"propose":[42],"a":[43,66,104],"new":[44],"texture":[45,168],"segmentation":[46,52,134],"method":[47,135,146,161],"based":[48,137],"on":[49,124,138],"dynamic":[51],"architecture.":[53],"This":[54,92],"architecture":[55],"decomposes":[56],"into":[59],"blocks":[60,88],"with":[61,89],"same":[63,81],"size":[64,72,98],"main":[67,75,101],"window.":[68],"After":[69],"that,":[70],"window":[76,102],"reduced":[78],"process":[82,93],"applied":[84],"extract":[86,207],"other":[87],"different":[90],"size.":[91,106],"repeated":[95],"until":[96],"reaches":[103],"minimum":[105],"Neuroscience":[107],"studies":[108],"said":[109],"that":[110],"human":[112],"brain":[113],"combines":[114],"between":[115,141],"Local":[116,153],"Global":[118],"features":[119],"recognize":[121],"objects.":[122],"Based":[123],"these":[125],"studies,":[126],"feature":[128,150],"extraction":[129],"step":[130],"proposed":[133,199],"combination":[140],"two":[142],"methods.":[143],"The":[144,188],"first":[145],"extracts":[147],"local":[149,209],"using":[151,169],"binary":[154],"patterns":[155],"(LBP)":[156],"method.":[157],"And":[158],"second":[160],"captures":[162],"global":[164],"information":[165,212],"Radon":[170],"transform.":[171],"Synthesis":[172],"images":[173,176],"generated":[175],"from":[177],"Brodatz":[178],"album":[179],"database":[180],"have":[181],"been":[182],"used":[183],"evaluation":[186],"part.":[187],"experiments":[189],"illustrate":[190],"efficiency":[192],"improvement":[195],"made":[196],"by":[197],"combination,":[200],"compared":[201],"[1]":[203],"[2],":[205],"directional":[211],"texture.":[215]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}