{"id":"https://openalex.org/W2908443841","doi":"https://doi.org/10.1109/cist.2018.8596453","title":"Texture Classification via Attractive-and-Repulsive Decoded Gradient Contours","display_name":"Texture Classification via Attractive-and-Repulsive Decoded Gradient Contours","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2908443841","doi":"https://doi.org/10.1109/cist.2018.8596453","mag":"2908443841"},"language":"en","primary_location":{"id":"doi:10.1109/cist.2018.8596453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cist.2018.8596453","pdf_url":null,"source":{"id":"https://openalex.org/S4306498311","display_name":"2018 IEEE 5th International Congress on Information Science and Technology (CiSt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 5th International Congress on Information Science and Technology (CiSt)","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/A5062641539","display_name":"I. El khadiri","orcid":"https://orcid.org/0000-0002-1172-9644"},"institutions":[{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"I. El khadiri","raw_affiliation_strings":["D\u00e9partement de Physique, Universit\u00e9 Ibn Tofail, K\u00e9nitra, Maroc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D\u00e9partement de Physique, Universit\u00e9 Ibn Tofail, K\u00e9nitra, Maroc","institution_ids":["https://openalex.org/I3121676899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077514642","display_name":"Mohamed Kas","orcid":"https://orcid.org/0000-0001-5123-4681"},"institutions":[{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"M. Kas","raw_affiliation_strings":["D\u00e9partement de Physique, Universit\u00e9 Ibn Tofail, K\u00e9nitra, Maroc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D\u00e9partement de Physique, Universit\u00e9 Ibn Tofail, K\u00e9nitra, Maroc","institution_ids":["https://openalex.org/I3121676899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033644787","display_name":"Youssef El Merabet","orcid":"https://orcid.org/0000-0001-6938-9374"},"institutions":[{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Y. El merabet","raw_affiliation_strings":["D\u00e9partement de Physique, Universit\u00e9 Ibn Tofail, K\u00e9nitra, Maroc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D\u00e9partement de Physique, Universit\u00e9 Ibn Tofail, K\u00e9nitra, Maroc","institution_ids":["https://openalex.org/I3121676899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083239938","display_name":"Yassine Ruichek","orcid":"https://orcid.org/0000-0003-4795-8569"},"institutions":[{"id":"https://openalex.org/I190861549","display_name":"Arts et M\u00e9tiers","ror":"https://ror.org/018pp1107","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I190861549","https://openalex.org/I4210134562"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Y. Ruichek","raw_affiliation_strings":["Le2i FRE2005, Arts et M\u00e9tiers Univ. Bourgogne, Belfort, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Le2i FRE2005, Arts et M\u00e9tiers Univ. Bourgogne, Belfort, France","institution_ids":["https://openalex.org/I190861549"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041616251","display_name":"Raja Touahni","orcid":"https://orcid.org/0000-0002-7417-9168"},"institutions":[{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"R. Touahni","raw_affiliation_strings":["D\u00e9partement de Physique, Universit\u00e9 Ibn Tofail, K\u00e9nitra, Maroc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D\u00e9partement de Physique, Universit\u00e9 Ibn Tofail, K\u00e9nitra, Maroc","institution_ids":["https://openalex.org/I3121676899"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"296","last_page":"301"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9936000108718872,"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/T10057","display_name":"Face and Expression Recognition","score":0.9775999784469604,"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/pixel","display_name":"Pixel","score":0.8082332611083984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.660271167755127},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.5931004881858826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5534468293190002},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.549642026424408},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.5468643307685852},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5412807464599609},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.45513948798179626},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.45501887798309326},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.45481076836586},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4542853832244873},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.393795907497406},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3537488579750061},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34145617485046387}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8082332611083984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.660271167755127},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.5931004881858826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5534468293190002},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.549642026424408},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.5468643307685852},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5412807464599609},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.45513948798179626},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.45501887798309326},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.45481076836586},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4542853832244873},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.393795907497406},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3537488579750061},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34145617485046387},{"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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cist.2018.8596453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cist.2018.8596453","pdf_url":null,"source":{"id":"https://openalex.org/S4306498311","display_name":"2018 IEEE 5th International Congress on Information Science and Technology (CiSt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 5th International Congress on Information Science and Technology (CiSt)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W61677869","https://openalex.org/W267619918","https://openalex.org/W929201006","https://openalex.org/W1881950329","https://openalex.org/W1975959625","https://openalex.org/W1994315897","https://openalex.org/W2006644697","https://openalex.org/W2017401249","https://openalex.org/W2163352848","https://openalex.org/W2182415974","https://openalex.org/W2186738130","https://openalex.org/W2194041088","https://openalex.org/W2293457052","https://openalex.org/W2301743195","https://openalex.org/W2343199841","https://openalex.org/W2397676078","https://openalex.org/W2402479123","https://openalex.org/W2403862286","https://openalex.org/W2412270517","https://openalex.org/W2477366583","https://openalex.org/W2553191750","https://openalex.org/W2618373950","https://openalex.org/W2662834249","https://openalex.org/W2766133630","https://openalex.org/W2767097933","https://openalex.org/W2789663503","https://openalex.org/W6602567337","https://openalex.org/W6686626433","https://openalex.org/W6721436459","https://openalex.org/W6738167156"],"related_works":["https://openalex.org/W2373577936","https://openalex.org/W4221148444","https://openalex.org/W4387678054","https://openalex.org/W2389596151","https://openalex.org/W3095575180","https://openalex.org/W2468279273","https://openalex.org/W4306784355","https://openalex.org/W2169308097","https://openalex.org/W2784004155","https://openalex.org/W3091984855"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,49,90,113],"novel":[4],"LBP-like":[5],"descriptor":[6,149,172],"for":[7],"texture":[8,165],"representation.":[9],"The":[10,141],"proposed":[11,73,111,170],"method,":[12],"referred":[13],"to":[14,40,77,105,119,176],"as":[15],"attractive-and-repulsive":[16,144],"decoded":[17,33,145],"gradient":[18,34,146],"contours":[19,35,147],"(ARDGC),":[20],"consists":[21],"in":[22,48,117,134],"dividing":[23],"local":[24,82,126],"features":[25],"into":[26],"two":[27],"distinct":[28],"categories,":[29],"attractive":[30],"and":[31,37,127,139,157],"repulsive":[32],"(ADGC":[36],"RDGC)":[38],"thanks":[39],"the":[41,69,72,79,94,97,107,110,120,124,135,169],"flexibility":[42],"of":[43,46,66,71,87,96,109,137,155],"attractive-repulsive":[44],"characteristics":[45],"pixels":[47],"3":[50,52,98,100],"\u00d7":[51,99],"grayscale":[53],"image":[54],"patch.":[55],"Unlike":[56],"some":[57],"existing":[58],"methods":[59],"which":[60],"are":[61],"based":[62],"on":[63,162],"pairwise":[64],"comparison":[65],"adjacent":[67],"pixels,":[68,88],"essence":[70],"ARDGC":[74,148,171],"model":[75],"is":[76,132,150],"encode":[78],"differences":[80],"between":[81],"intensity":[83],"values":[84],"within":[85],"triplets":[86],"along":[89,93],"route":[91],"traced":[92],"periphery":[95],"square":[101],"neighborhood.":[102],"In":[103],"order":[104],"increase":[106],"robustness":[108],"operator,":[112],"new":[114],"triplet,":[115],"formed":[116],"addition":[118],"central":[121],"pixel,":[122],"by":[123,152],"average":[125,128],"global":[129],"gray":[130],"levels,":[131],"incorporated":[133],"modeling":[136],"ADGC":[138,156],"RDGC.":[140,158],"final":[142],"multi-scale":[143],"obtained":[151],"linear":[153],"concatenation":[154],"Extensive":[159],"experimental":[160],"results":[161],"nine":[163],"representative":[164],"databases":[166],"show":[167],"that":[168],"demonstrates":[173],"superior":[174],"performance":[175],"30":[177],"recent":[178],"state-of-the-art":[179],"LBP":[180],"variants.":[181]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
