{"id":"https://openalex.org/W4381431639","doi":"https://doi.org/10.3233/jifs-230218","title":"ED algorithm of inscription picture combining fuzzy logic rules","display_name":"ED algorithm of inscription picture combining fuzzy logic rules","publication_year":2023,"publication_date":"2023-05-30","ids":{"openalex":"https://openalex.org/W4381431639","doi":"https://doi.org/10.3233/jifs-230218"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-230218","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-230218","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-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/A5100648538","display_name":"Wei Guo","orcid":"https://orcid.org/0000-0001-8616-0221"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Guo","raw_affiliation_strings":["School of Software, Liaoning Technical University, Huludao, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Liaoning Technical University, Huludao, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060619664","display_name":"C. Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chuchen Zhang","raw_affiliation_strings":["School of Software, Liaoning Technical University, Huludao, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Liaoning Technical University, Huludao, China","institution_ids":["https://openalex.org/I176808543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060619664"],"corresponding_institution_ids":["https://openalex.org/I176808543"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10757096,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":"2","first_page":"2465","last_page":"2475"},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.8973000049591064,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.8973000049591064,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13027","display_name":"Applied Advanced Technologies","score":0.8873000144958496,"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"}},{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.8672999739646912,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/fuzzy-logic","display_name":"Fuzzy logic","score":0.6798509359359741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6578117609024048},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.6253706216812134},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5640241503715515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5396011471748352},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5372066497802734},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5331826210021973},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4934336245059967},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44917863607406616},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.43857550621032715},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4168608784675598},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4162895083427429},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4148328900337219},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35652852058410645},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09652554988861084}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6798509359359741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6578117609024048},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.6253706216812134},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5640241503715515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5396011471748352},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5372066497802734},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5331826210021973},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4934336245059967},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44917863607406616},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.43857550621032715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4168608784675598},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4162895083427429},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4148328900337219},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35652852058410645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09652554988861084}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-230218","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-230218","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2792258666","https://openalex.org/W2802707509","https://openalex.org/W2807333821","https://openalex.org/W2894384365","https://openalex.org/W2954927003","https://openalex.org/W2968689095","https://openalex.org/W2978463336","https://openalex.org/W2982618636","https://openalex.org/W2998127989","https://openalex.org/W3024207815","https://openalex.org/W3093074788","https://openalex.org/W3097549958","https://openalex.org/W3183183389","https://openalex.org/W3207233046","https://openalex.org/W4200326555","https://openalex.org/W4205425966","https://openalex.org/W4206967560","https://openalex.org/W4214928390","https://openalex.org/W6751797404"],"related_works":["https://openalex.org/W2028037572","https://openalex.org/W2315652488","https://openalex.org/W2039365229","https://openalex.org/W2101902114","https://openalex.org/W2145843506","https://openalex.org/W2379089757","https://openalex.org/W4249592067","https://openalex.org/W2056407677","https://openalex.org/W2128085731","https://openalex.org/W4293054829"],"abstract_inverted_index":{"The":[0,123,152,187,222],"expansive":[1],"growth":[2],"of":[3,107,113,160,176,195,211,230,245],"information":[4],"on":[5],"the":[6,31,48,83,100,105,108,110,114,128,156,163,167,172,179,183,191,198,202,207,214,218,226,233,237,243,253,267],"Internet":[7],"has":[8,131,155,190,225,262],"led":[9],"to":[10,26,39,79,98],"new":[11],"developments":[12],"in":[13,259],"computer":[14],"vision":[15],"technology":[16,57],"and":[17,28,42,67,81,87,138,148,171,206,248,266,282],"image":[18,41,59,84,115,169,185,204,220,239,255,281],"processing":[19,256,264],"techniques.":[20],"Since":[21],"stone":[22],"inscriptions":[23],"are":[24,70],"subject":[25],"erosion":[27],"polishing":[29],"by":[30],"external":[32],"environment":[33],"for":[34,58,135,278],"years,":[35],"it":[36],"is":[37,52,77,96,116,166,182,201,217,236,276],"difficult":[38],"extract":[40,80],"text":[43,283],"information.":[44],"In":[45,241],"this":[46,260],"study,":[47],"fuzzy":[49,65,74,90],"control":[50,75],"theory":[51],"combined":[53],"with":[54,141,272],"edge":[55,60,85,93,133],"detection":[56,94,111,134,164,180,199,215,234],"detection.":[61],"Firstly,":[62],"a":[63,73,89,120],"suitable":[64],"rule":[66],"affiliation":[68],"function":[69],"set,":[71],"then":[72,88],"system":[76],"used":[78,258],"detect":[82,99],"information,":[86],"logic":[91],"rule-based":[92],"algorithm":[95,130,154,189,224,257],"proposed":[97,129,153,188,223],"inscription":[101,137,150,254,280],"images.":[102,151],"To":[103],"test":[104],"performance":[106],"algorithm,":[109],"effect":[112],"first":[117],"analyzed":[118],"from":[119],"subjective":[121,247],"perspective.":[122],"experimental":[124],"results":[125],"show":[126],"that":[127,252],"better":[132,142,263],"both":[136,246,279],"lena":[139,168,184,203,219,238],"images,":[140],"noise":[143],"suppression":[144],"without":[145],"excessive":[146],"distortion,":[147,274],"clearer":[149,271],"lowest":[157,192],"MSE":[158,193],"value":[159,175,194,210,229],"41.26":[161,196,212],"when":[162,178,197,213,232],"object":[165,181,200,216,235],"b,":[170,205],"highest":[173,208,227],"PSNR":[174,209,228],"33.84":[177,231],"a.":[186],"b.":[221,240],"summary,":[242],"analysis":[244],"objective":[249],"indicators":[250],"shows":[251],"paper":[261],"effect,":[265],"processed":[268],"images":[269],"become":[270],"less":[273],"which":[275],"helpful":[277],"extraction.":[284]},"counts_by_year":[],"updated_date":"2026-01-30T23:17:42.513302","created_date":"2025-10-10T00:00:00"}
