{"id":"https://openalex.org/W2066142190","doi":"https://doi.org/10.1109/ukci.2014.6930177","title":"Soft morphological filter optimization using a genetic algorithm for noise elimination","display_name":"Soft morphological filter optimization using a genetic algorithm for noise elimination","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2066142190","doi":"https://doi.org/10.1109/ukci.2014.6930177","mag":"2066142190"},"language":"en","primary_location":{"id":"doi:10.1109/ukci.2014.6930177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ukci.2014.6930177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 14th UK Workshop on Computational Intelligence (UKCI)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://eprints.nottingham.ac.uk/34403/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001682402","display_name":"T\u00fcrker Er\u00e7al","orcid":null},"institutions":[{"id":"https://openalex.org/I100072489","display_name":"Yeditepe University","ror":"https://ror.org/025mx2575","country_code":"TR","type":"education","lineage":["https://openalex.org/I100072489"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Turker Ercal","raw_affiliation_strings":["Department of Computer Engineering, Yeditepe University, Istanbul, Turkey","Yeditepe University, Department of Computer Engineering, Kayi\u015fda\u011f\u0131 34755, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Yeditepe University, Istanbul, Turkey","institution_ids":["https://openalex.org/I100072489"]},{"raw_affiliation_string":"Yeditepe University, Department of Computer Engineering, Kayi\u015fda\u011f\u0131 34755, Istanbul, Turkey","institution_ids":["https://openalex.org/I100072489"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020026827","display_name":"Ender \u00d6zcan","orcid":"https://orcid.org/0000-0003-0276-1391"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ender Ozcan","raw_affiliation_strings":["School of Computer Science, University of Nottingham, Nottingham, UK","School of Computer Science, University of Nottingham, Nottingham, NG8 1BB, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham, Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]},{"raw_affiliation_string":"School of Computer Science, University of Nottingham, Nottingham, NG8 1BB, UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003488448","display_name":"Shahriar Asta","orcid":"https://orcid.org/0000-0002-7733-2500"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shahriar Asta","raw_affiliation_strings":["School of Computer Science, University of Nottingham, Nottingham, UK","School of Computer Science, University of Nottingham, Nottingham, NG8 1BB, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham, Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]},{"raw_affiliation_string":"School of Computer Science, University of Nottingham, Nottingham, NG8 1BB, UK","institution_ids":["https://openalex.org/I142263535"]}]}],"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":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3733","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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":0.9990000128746033,"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/T11666","display_name":"Color Science and Applications","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.7840409278869629},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.6723016500473022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6465397477149963},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.6330866813659668},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4968259632587433},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.46724915504455566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46409812569618225},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45946478843688965},{"id":"https://openalex.org/keywords/digital-filter","display_name":"Digital filter","score":0.4438553750514984},{"id":"https://openalex.org/keywords/salt-and-pepper-noise","display_name":"Salt-and-pepper noise","score":0.4418218731880188},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.4387006461620331},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.4302249550819397},{"id":"https://openalex.org/keywords/kernel-adaptive-filter","display_name":"Kernel adaptive filter","score":0.424960732460022},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39036715030670166},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3836877644062042},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3083592355251312},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2308174967765808},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.08792796730995178}],"concepts":[{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.7840409278869629},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.6723016500473022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6465397477149963},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.6330866813659668},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4968259632587433},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46724915504455566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46409812569618225},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45946478843688965},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.4438553750514984},{"id":"https://openalex.org/C113660513","wikidata":"https://www.wikidata.org/wiki/Q849379","display_name":"Salt-and-pepper noise","level":5,"score":0.4418218731880188},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.4387006461620331},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.4302249550819397},{"id":"https://openalex.org/C13107197","wikidata":"https://www.wikidata.org/wiki/Q6394192","display_name":"Kernel adaptive filter","level":4,"score":0.424960732460022},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39036715030670166},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3836877644062042},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3083592355251312},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2308174967765808},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.08792796730995178}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ukci.2014.6930177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ukci.2014.6930177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 14th UK Workshop on Computational Intelligence (UKCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.nottingham.ac.uk:28548","is_oa":false,"landing_page_url":"http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6930177","pdf_url":null,"source":{"id":"https://openalex.org/S4377196365","display_name":"Nottingham ePrints (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:eprints.nottingham.ac.uk:34403","is_oa":true,"landing_page_url":"http://eprints.nottingham.ac.uk/34403/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196365","display_name":"Nottingham ePrints (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:nottingham-repository.worktribe.com:998394","is_oa":true,"landing_page_url":"https://nottingham-repository.worktribe.com/output/998394","pdf_url":null,"source":{"id":"https://openalex.org/S4306402483","display_name":"Repository@Nottingham (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Presentation / Conference Contribution"}],"best_oa_location":{"id":"pmh:oai:eprints.nottingham.ac.uk:34403","is_oa":true,"landing_page_url":"http://eprints.nottingham.ac.uk/34403/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196365","display_name":"Nottingham ePrints (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6414137052","display_name":null,"funder_award_id":"EP/H000968/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W42203131","https://openalex.org/W1485646834","https://openalex.org/W1488601969","https://openalex.org/W1504212956","https://openalex.org/W1543127209","https://openalex.org/W1580963329","https://openalex.org/W1593939129","https://openalex.org/W1947129057","https://openalex.org/W1975102210","https://openalex.org/W1982286705","https://openalex.org/W1989507398","https://openalex.org/W1993707535","https://openalex.org/W2001126484","https://openalex.org/W2005585338","https://openalex.org/W2007406620","https://openalex.org/W2022604325","https://openalex.org/W2051321860","https://openalex.org/W2059423289","https://openalex.org/W2065958844","https://openalex.org/W2071238544","https://openalex.org/W2071648676","https://openalex.org/W2075110740","https://openalex.org/W2076130063","https://openalex.org/W2076787556","https://openalex.org/W2081933987","https://openalex.org/W2096856389","https://openalex.org/W2124139674","https://openalex.org/W2128058389","https://openalex.org/W2142314280","https://openalex.org/W2153140772","https://openalex.org/W2160016589","https://openalex.org/W2164741953","https://openalex.org/W2167707673","https://openalex.org/W2476868371","https://openalex.org/W2532906875","https://openalex.org/W4238711170","https://openalex.org/W4250615654","https://openalex.org/W6629077503","https://openalex.org/W6683499537"],"related_works":["https://openalex.org/W2953655071","https://openalex.org/W2121479027","https://openalex.org/W2082346846","https://openalex.org/W1978900443","https://openalex.org/W2415066633","https://openalex.org/W1787910866","https://openalex.org/W2545973440","https://openalex.org/W2542493839","https://openalex.org/W2518478289","https://openalex.org/W2167707673"],"abstract_inverted_index":{"Digital":[0],"image":[1,9,21],"quality":[2,22],"is":[3,40],"of":[4,27,31,55,136],"importance":[5],"in":[6,66],"almost":[7],"all":[8],"processing":[10],"applications.":[11],"Many":[12],"different":[13,53,82],"approaches":[14],"have":[15,64],"been":[16,65],"proposed":[17],"for":[18,51,68,167],"restoring":[19],"the":[20,25,28,32,118,126,131,143,148,157,164],"depending":[23],"on":[24],"nature":[26],"degradation.":[29],"One":[30],"most":[33],"common":[34],"problems":[35],"that":[36,139],"cause":[37],"such":[38],"degradation":[39],"impulse":[41,102,153],"noise.":[42,56],"In":[43,71],"general,":[44],"well":[45],"known":[46,128],"median":[47,119,165],"filters":[48,59,129],"are":[49,60,140],"preferred":[50],"eliminating":[52,168],"types":[54],"Soft":[57],"morphological":[58,97],"recently":[61],"introduced":[62],"and":[63,93,121],"use":[67],"many":[69],"purposes.":[70],"this":[72],"study,":[73],"we":[74],"present":[75],"a":[76,85,89,95,105,134],"Genetic":[77],"Algorithm":[78],"(GA)":[79],"which":[80],"combines":[81],"objectives":[83],"as":[84,171],"weighted":[86],"sum":[87],"under":[88],"single":[90],"evaluation":[91],"function":[92],"generates":[94],"soft":[96],"filter":[98,114,120,160,166],"to":[99,125],"deal":[100],"with":[101,108],"noise,":[103],"after":[104],"training":[106,144,149],"process":[107,150],"small":[109],"images.":[110],"The":[111],"automatically":[112],"generated":[113],"performs":[115,161],"better":[116,162],"than":[117,142,163],"achieves":[122],"comparable":[123],"results":[124],"best":[127],"from":[130],"literature":[132],"over":[133],"set":[135],"benchmark":[137],"instances":[138],"larger":[141],"instances.":[145],"Moreover,":[146],"although":[147],"involves":[151],"only":[152],"noise":[154,170],"added":[155],"images,":[156],"same":[158],"evolved":[159],"Gaussian":[169],"well.":[172]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
