{"id":"https://openalex.org/W2152433952","doi":"https://doi.org/10.1109/cec.2011.5949626","title":"Genetic programming for edge detection: A global approach","display_name":"Genetic programming for edge detection: A global approach","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2152433952","doi":"https://doi.org/10.1109/cec.2011.5949626","mag":"2152433952"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2011.5949626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2011.5949626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Congress of Evolutionary Computation (CEC)","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/A5073062193","display_name":"Wenlong Fu","orcid":"https://orcid.org/0000-0003-4084-1085"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Wenlong Fu","raw_affiliation_strings":["School of Mathematics, Statistics and Operations Research, Victoria University of Wellington, New Zealand"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Statistics and Operations Research, Victoria University of Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103902192","display_name":"Mark Johnston","orcid":null},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mark Johnston","raw_affiliation_strings":["School of Mathematics, Statistics and Operations Research, Victoria University of Wellington, New Zealand"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Statistics and Operations Research, Victoria University of Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400258","display_name":"Mengjie Zhang","orcid":"https://orcid.org/0000-0003-4463-9538"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mengjie Zhang","raw_affiliation_strings":["School of Engineering and Computer Science, Victoria University of Wellington, New Zealand"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, Victoria University of Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073062193"],"corresponding_institution_ids":["https://openalex.org/I41156924"],"apc_list":null,"apc_paid":null,"fwci":11.117,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.98432503,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"254","last_page":"261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998999834060669,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998999834060669,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9914000034332275,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9685999751091003,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/sobel-operator","display_name":"Sobel operator","score":0.900814414024353},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.7756186127662659},{"id":"https://openalex.org/keywords/deriche-edge-detector","display_name":"Deriche edge detector","score":0.7727643251419067},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.7286331057548523},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.700297474861145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6805083751678467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6730030179023743},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.631854772567749},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5870063900947571},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.5593957901000977},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5284730792045593},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5120999813079834},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.4849148392677307},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4734625220298767},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4723430871963501},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.4233500063419342},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36923134326934814},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.3078629970550537},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.271331250667572},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14336106181144714}],"concepts":[{"id":"https://openalex.org/C30703548","wikidata":"https://www.wikidata.org/wiki/Q1757673","display_name":"Sobel operator","level":5,"score":0.900814414024353},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.7756186127662659},{"id":"https://openalex.org/C167074055","wikidata":"https://www.wikidata.org/wiki/Q5262565","display_name":"Deriche edge detector","level":5,"score":0.7727643251419067},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.7286331057548523},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.700297474861145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6805083751678467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6730030179023743},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.631854772567749},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5870063900947571},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.5593957901000977},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5284730792045593},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5120999813079834},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.4849148392677307},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4734625220298767},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4723430871963501},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.4233500063419342},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36923134326934814},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.3078629970550537},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.271331250667572},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14336106181144714},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2011.5949626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2011.5949626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Congress of 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":33,"referenced_works":["https://openalex.org/W42643001","https://openalex.org/W204701689","https://openalex.org/W1488705816","https://openalex.org/W1560955408","https://openalex.org/W1576818901","https://openalex.org/W1603183992","https://openalex.org/W1856304191","https://openalex.org/W1899325259","https://openalex.org/W1963681391","https://openalex.org/W2003370853","https://openalex.org/W2028823217","https://openalex.org/W2037343293","https://openalex.org/W2040492000","https://openalex.org/W2043085619","https://openalex.org/W2078835246","https://openalex.org/W2082250641","https://openalex.org/W2114853469","https://openalex.org/W2114996784","https://openalex.org/W2116216752","https://openalex.org/W2118570024","https://openalex.org/W2119823327","https://openalex.org/W2121927366","https://openalex.org/W2128670925","https://openalex.org/W2131336780","https://openalex.org/W2145023731","https://openalex.org/W2158934641","https://openalex.org/W2285296077","https://openalex.org/W4250533120","https://openalex.org/W4285719527","https://openalex.org/W6601699240","https://openalex.org/W6608475857","https://openalex.org/W6640966754","https://openalex.org/W6696106246"],"related_works":["https://openalex.org/W2780933376","https://openalex.org/W4312567938","https://openalex.org/W3092835544","https://openalex.org/W2318773630","https://openalex.org/W2157949623","https://openalex.org/W2392698940","https://openalex.org/W2360586769","https://openalex.org/W2354100707","https://openalex.org/W1967001075","https://openalex.org/W2367365714"],"abstract_inverted_index":{"Edge":[0],"detection":[1,17,26,100],"is":[2,82],"an":[3,37],"important":[4],"task":[5],"in":[6,124],"computer":[7],"vision.":[8],"This":[9,80],"paper":[10],"describes":[11],"a":[12],"global":[13],"approach":[14,34,81],"to":[15,62,75],"edge":[16,25,91,99],"using":[18],"genetic":[19],"programming":[20],"(GP).":[21],"Unlike":[22],"most":[23,125],"traditional":[24],"methods":[27],"which":[28],"use":[29],"local":[30],"window":[31],"filters,":[32],"this":[33],"directly":[35,45],"uses":[36],"entire":[38],"image":[39],"as":[40,46],"input":[41],"and":[42,56,69,84,89,118],"classifies":[43],"pixels":[44],"edges":[47],"or":[48,52],"non-edges":[49],"without":[50],"preprocessing":[51],"postprocessing.":[53],"Shifting":[54],"operations":[55],"common":[57],"standard":[58],"operators":[59],"are":[60,73],"used":[61,74],"form":[63],"the":[64,77,87,109,115,121],"function":[65],"set.":[66],"Precision,":[67],"recall":[68],"true":[70],"negative":[71],"rate":[72],"construct":[76],"fitness":[78],"functions.":[79],"examined":[83],"compared":[85],"with":[86,120],"Laplacian":[88,116],"Sobel":[90,122],"detectors":[92,110],"on":[93],"three":[94],"sets":[95],"of":[96,102],"images":[97],"providing":[98],"problems":[101],"varying":[103],"difficulty.":[104],"The":[105],"results":[106],"suggest":[107],"that":[108],"evolved":[111],"by":[112],"GP":[113],"outperform":[114],"detector":[117,123],"compete":[119],"cases.":[126]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":10}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
