{"id":"https://openalex.org/W3083219216","doi":"https://doi.org/10.1109/cec48606.2020.9185679","title":"Many-level Image Thresholding using a Center-Based Differential Evolution Algorithm","display_name":"Many-level Image Thresholding using a Center-Based Differential Evolution Algorithm","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3083219216","doi":"https://doi.org/10.1109/cec48606.2020.9185679","mag":"3083219216"},"language":"en","primary_location":{"id":"doi:10.1109/cec48606.2020.9185679","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec48606.2020.9185679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Congress on Evolutionary Computation (CEC)","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/A5019996443","display_name":"Seyed Jalaleddin Mousavirad","orcid":"https://orcid.org/0000-0001-8661-7578"},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"Ontario Tech University","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Seyed Jalaleddin Mousavirad","raw_affiliation_strings":["SMIEEE Nature-Inspired Computational Intelligence Lab, Ontario Tech University, Oshawa, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SMIEEE Nature-Inspired Computational Intelligence Lab, Ontario Tech University, Oshawa, Canada","institution_ids":["https://openalex.org/I39470171"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077727968","display_name":"Shahryar Rahnamayan","orcid":"https://orcid.org/0000-0002-6990-787X"},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"Ontario Tech University","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Shahryar Rahnamayan","raw_affiliation_strings":["SMIEEE Nature-Inspired Computational Intelligence Lab, Ontario Tech University, Oshawa, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SMIEEE Nature-Inspired Computational Intelligence Lab, Ontario Tech University, Oshawa, Canada","institution_ids":["https://openalex.org/I39470171"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105462955","display_name":"Gerald Schaefer","orcid":"https://orcid.org/0000-0003-1292-7674"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gerald Schaefer","raw_affiliation_strings":["Department of Computer Science, Loughborough University, Loughborough, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Loughborough University, Loughborough, U.K","institution_ids":["https://openalex.org/I143804889"]}]}],"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":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.984499990940094,"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":0.9782000184059143,"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/thresholding","display_name":"Thresholding","score":0.8202700614929199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6617617607116699},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6563416719436646},{"id":"https://openalex.org/keywords/balanced-histogram-thresholding","display_name":"Balanced histogram thresholding","score":0.6385622024536133},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.593917727470398},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4939468502998352},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4799273610115051},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44539526104927063},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.4391435980796814},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3623943328857422},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.356914758682251}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.8202700614929199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6617617607116699},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6563416719436646},{"id":"https://openalex.org/C202577368","wikidata":"https://www.wikidata.org/wiki/Q2576067","display_name":"Balanced histogram thresholding","level":5,"score":0.6385622024536133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.593917727470398},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4939468502998352},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4799273610115051},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44539526104927063},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.4391435980796814},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3623943328857422},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.356914758682251},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec48606.2020.9185679","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec48606.2020.9185679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1595159159","https://openalex.org/W2045680745","https://openalex.org/W2047094503","https://openalex.org/W2047357592","https://openalex.org/W2096166399","https://openalex.org/W2116586169","https://openalex.org/W2121927366","https://openalex.org/W2144540753","https://openalex.org/W2157259291","https://openalex.org/W2165299997","https://openalex.org/W2607700698","https://openalex.org/W2680095193","https://openalex.org/W2786922041","https://openalex.org/W2792122611","https://openalex.org/W2889456614","https://openalex.org/W2903572049","https://openalex.org/W2914961709","https://openalex.org/W2939018077","https://openalex.org/W2968254578","https://openalex.org/W2969148750","https://openalex.org/W2975160087","https://openalex.org/W2981338736","https://openalex.org/W6681344423","https://openalex.org/W6684237752","https://openalex.org/W6766568842","https://openalex.org/W6768508136"],"related_works":["https://openalex.org/W1990592446","https://openalex.org/W2032558130","https://openalex.org/W2353864504","https://openalex.org/W2750730210","https://openalex.org/W2356573839","https://openalex.org/W4237142086","https://openalex.org/W2327601824","https://openalex.org/W2106833984","https://openalex.org/W2009028679","https://openalex.org/W2111883783"],"abstract_inverted_index":{"Image":[0],"thresholding":[1,27,44,105,179],"is":[2,45,127],"a":[3,14,46,95,131,140],"crucial":[4],"image":[5,19,26,43,50,54,104,107,178],"processing":[6,20],"task.":[7],"Most":[8],"of":[9,72,142,175],"the":[10,70,77,167,173],"time,":[11],"it":[12],"plays":[13],"pivotal":[15],"role":[16],"in":[17,25,123],"an":[18,53,65,153],"chain,":[21],"therefore,":[22],"any":[23],"error":[24],"can":[28,170],"propagate":[29],"to":[30,63,87,114,152],"other":[31,78,176],"steps":[32],"such":[33],"as":[34],"edge":[35],"detection,":[36],"area/volume":[37],"estimation,":[38],"or":[39],"object":[40],"recognition.":[41],"Multi-level":[42],"popular":[47],"method":[48],"for":[49,101,118],"segmentation,":[51],"dividing":[52],"into":[55],"homogeneous":[56],"regions.":[57],"Conventional":[58],"algorithms":[59,82],"are":[60],"timeconsuming":[61],"due":[62],"utilising":[64],"exhaustive":[66],"search,":[67],"especially":[68],"when":[69],"number":[71],"threshold":[73],"levels":[74],"increases.":[75],"On":[76],"hand,":[79],"population-based":[80],"metaheuristic":[81,177],"have":[83],"been":[84,112],"successfully":[85],"applied":[86],"this":[88,91],"problem.":[89],"In":[90],"paper,":[92],"we":[93],"propose":[94],"center-based":[96,132],"differential":[97],"evolution":[98],"(DE)":[99],"algorithm":[100,138,169],"high-dimensional":[102,146],"multilevel":[103],"(many-level":[106],"thresholding).":[108],"While":[109],"DE":[110,126],"has":[111],"shown":[113],"yield":[115],"satisfactory":[116],"performance":[117,174],"various":[119],"real-world":[120],"optimisation":[121],"problems,":[122],"our":[124,137],"algorithm,":[125],"further":[128],"boosted":[129],"with":[130,150],"sampling":[133],"strategy.":[134],"We":[135],"evaluate":[136],"on":[139,145],"set":[141],"benchmark":[143],"images":[144],"search":[147],"spaces":[148],"and":[149,157],"regards":[151],"entropy-based":[154],"objective":[155],"function":[156],"peak":[158],"signal-to-noise":[159],"ratio":[160],"(PSNR).":[161],"The":[162],"obtained":[163],"results":[164],"demonstrate":[165],"that":[166],"proposed":[168],"improve":[171],"upon":[172],"techniques.":[180]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}