{"id":"https://openalex.org/W2581267792","doi":"https://doi.org/10.1109/ceec.2016.7835900","title":"Quaternion linear colour edge-sharpening filter using genetic algorithm","display_name":"Quaternion linear colour edge-sharpening filter using genetic algorithm","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2581267792","doi":"https://doi.org/10.1109/ceec.2016.7835900","mag":"2581267792"},"language":"en","primary_location":{"id":"doi:10.1109/ceec.2016.7835900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ceec.2016.7835900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th Computer Science and Electronic Engineering (CEEC)","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/A5069033938","display_name":"Shagufta Yasmin","orcid":"https://orcid.org/0000-0002-8102-2521"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Shagufta Yasmin","raw_affiliation_strings":["School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom","institution_ids":["https://openalex.org/I110002522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011005704","display_name":"Stephen J. Sangwine","orcid":"https://orcid.org/0000-0002-4569-5630"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stephen J. Sangwine","raw_affiliation_strings":["School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom","institution_ids":["https://openalex.org/I110002522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069033938"],"corresponding_institution_ids":["https://openalex.org/I110002522"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16758689,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"124","last_page":"129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9968000054359436,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9968000054359436,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9966999888420105,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9966999888420105,"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/sharpening","display_name":"Sharpening","score":0.9474813938140869},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6183726787567139},{"id":"https://openalex.org/keywords/quaternion","display_name":"Quaternion","score":0.5757892727851868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5742350816726685},{"id":"https://openalex.org/keywords/color-gel","display_name":"Color gel","score":0.5736923813819885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5694708824157715},{"id":"https://openalex.org/keywords/zoom","display_name":"Zoom","score":0.5288043022155762},{"id":"https://openalex.org/keywords/kernel-adaptive-filter","display_name":"Kernel adaptive filter","score":0.49013909697532654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4749229848384857},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.4670383334159851},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4481180012226105},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.4435935914516449},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.44042930006980896},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4309021234512329},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4251308739185333},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42052966356277466},{"id":"https://openalex.org/keywords/composite-image-filter","display_name":"Composite image filter","score":0.41441023349761963},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30644863843917847},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1542389988899231},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14990153908729553},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.1393509805202484},{"id":"https://openalex.org/keywords/lens","display_name":"Lens (geology)","score":0.09832784533500671}],"concepts":[{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.9474813938140869},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6183726787567139},{"id":"https://openalex.org/C200127275","wikidata":"https://www.wikidata.org/wiki/Q173853","display_name":"Quaternion","level":2,"score":0.5757892727851868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5742350816726685},{"id":"https://openalex.org/C142771000","wikidata":"https://www.wikidata.org/wiki/Q1435398","display_name":"Color gel","level":4,"score":0.5736923813819885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5694708824157715},{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"score":0.5288043022155762},{"id":"https://openalex.org/C13107197","wikidata":"https://www.wikidata.org/wiki/Q6394192","display_name":"Kernel adaptive filter","level":4,"score":0.49013909697532654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4749229848384857},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.4670383334159851},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4481180012226105},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.4435935914516449},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.44042930006980896},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4309021234512329},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4251308739185333},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42052966356277466},{"id":"https://openalex.org/C78087231","wikidata":"https://www.wikidata.org/wiki/Q5156759","display_name":"Composite image filter","level":3,"score":0.41441023349761963},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30644863843917847},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1542389988899231},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14990153908729553},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.1393509805202484},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.09832784533500671},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.0},{"id":"https://openalex.org/C87359718","wikidata":"https://www.wikidata.org/wiki/Q1271916","display_name":"Thin-film transistor","level":3,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ceec.2016.7835900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ceec.2016.7835900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th Computer Science and Electronic Engineering (CEEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W196112822","https://openalex.org/W1965765321","https://openalex.org/W1996040242","https://openalex.org/W2030244840","https://openalex.org/W2034230021","https://openalex.org/W2041398628","https://openalex.org/W2049151613","https://openalex.org/W2123295993","https://openalex.org/W2125555561","https://openalex.org/W2128370471","https://openalex.org/W2137135002"],"related_works":["https://openalex.org/W2581267792","https://openalex.org/W2133252082","https://openalex.org/W4385489722","https://openalex.org/W3089873477","https://openalex.org/W2078971444","https://openalex.org/W4248148385","https://openalex.org/W3145200170","https://openalex.org/W2025451428","https://openalex.org/W3088540525","https://openalex.org/W2252937368"],"abstract_inverted_index":{"A":[0,8],"quaternion":[1,9],"linear":[2,108,128],"colour":[3,30,35,43,75,90,109,129],"edge-sharpening":[4],"filter":[5,26,57,68,101,122,132],"is":[6,12,27,69,86,102,115,123],"presented.":[7],"convolution":[10],"mask":[11],"created":[13],"using":[14,134],"a":[15,20,103,127],"genetic":[16,135],"algorithm":[17,136],"(GA)":[18],"and":[19,63,77,137],"zooming":[21,61,138],"technique.":[22],"When":[23],"the":[24,50,55,60,78,83],"new":[25,67,121],"applied":[28],"to":[29,117],"images,":[31],"it":[32,114],"produces":[33],"sharpened":[34],"edges":[36,47,91],"in":[37,40,49,92],"all":[38,93],"directions":[39,94],"regions":[41],"where":[42],"(but":[44],"not":[45],"intensity)":[46],"occur":[48],"image.":[51],"The":[52,66],"methodology":[53],"of":[54,74,126],"proposed":[56,84,100],"depends":[58],"on":[59,71],"technique":[62],"fitness":[64],"function.":[65],"tested":[70],"different":[72],"kind":[73],"images":[76],"experimental":[79],"results":[80],"show":[81],"that":[82],"scheme":[85],"needed":[87],"for":[88,106],"sharpening":[89],"with":[95],"only":[96],"one":[97],"mask.":[98],"This":[99,120],"great":[104],"achievement":[105],"developing":[107],"vector":[110,130],"image":[111,131],"filters":[112],"because":[113],"difficult":[116],"design":[118],"manually/mathematically.":[119],"an":[124],"example":[125],"developed":[133],"techniques.":[139]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
