{"id":"https://openalex.org/W1995584466","doi":"https://doi.org/10.4018/ijcvip.2012100105","title":"A Novel Approach for Edge Detection in Images Based on Cellular Learning Automata","display_name":"A Novel Approach for Edge Detection in Images Based on Cellular Learning Automata","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W1995584466","doi":"https://doi.org/10.4018/ijcvip.2012100105","mag":"1995584466"},"language":"en","primary_location":{"id":"doi:10.4018/ijcvip.2012100105","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijcvip.2012100105","pdf_url":null,"source":{"id":"https://openalex.org/S4210177549","display_name":"International Journal of Computer Vision and Image Processing","issn_l":"2155-6989","issn":["2155-6989","2155-6997"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision and Image Processing","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/A5009120208","display_name":"Farhad Soleimanian Gharehchopogh","orcid":"https://orcid.org/0000-0003-1588-1659"},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Farhad Soleimanian Gharehchopogh","raw_affiliation_strings":["Department of Computer Engineering, Hacettepe University, Beytepe, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Hacettepe University, Beytepe, Ankara, Turkey","institution_ids":["https://openalex.org/I66514158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064352810","display_name":"Samira Ebrahimi","orcid":"https://orcid.org/0000-0003-1215-9871"},"institutions":[{"id":"https://openalex.org/I155419210","display_name":"Islamic Azad University, Science and Research Branch","ror":"https://ror.org/03187yj51","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I155419210"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Samira Ebrahimi","raw_affiliation_strings":["Department of Computer Engineering, Science and Research Branch, Islamic Azad University, West Azerbaijan, Iran","Department of Computer Engineering, Science and research branch, Islamic Azad University, West Azerbaijan, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Science and Research Branch, Islamic Azad University, West Azerbaijan, Iran","institution_ids":["https://openalex.org/I155419210"]},{"raw_affiliation_string":"Department of Computer Engineering, Science and research branch, Islamic Azad University, West Azerbaijan, Iran","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009120208"],"corresponding_institution_ids":["https://openalex.org/I66514158"],"apc_list":null,"apc_paid":null,"fwci":4.3803,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.94515896,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2","issue":"4","first_page":"51","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13182","display_name":"Quantum-Dot Cellular Automata","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T13182","display_name":"Quantum-Dot Cellular Automata","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T12162","display_name":"Cellular Automata and Applications","score":0.9975000023841858,"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"}},{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/edge-detection","display_name":"Edge detection","score":0.8269613981246948},{"id":"https://openalex.org/keywords/sobel-operator","display_name":"Sobel operator","score":0.7248699069023132},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7237958908081055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6814336776733398},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.6675054430961609},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.631115734577179},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6232922077178955},{"id":"https://openalex.org/keywords/deriche-edge-detector","display_name":"Deriche edge detector","score":0.5416659712791443},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.513414740562439},{"id":"https://openalex.org/keywords/cellular-automaton","display_name":"Cellular automaton","score":0.5096135139465332},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.46956348419189453},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.45053690671920776},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.4127788543701172},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39016199111938477},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3724309802055359}],"concepts":[{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.8269613981246948},{"id":"https://openalex.org/C30703548","wikidata":"https://www.wikidata.org/wiki/Q1757673","display_name":"Sobel operator","level":5,"score":0.7248699069023132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7237958908081055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6814336776733398},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.6675054430961609},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.631115734577179},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6232922077178955},{"id":"https://openalex.org/C167074055","wikidata":"https://www.wikidata.org/wiki/Q5262565","display_name":"Deriche edge detector","level":5,"score":0.5416659712791443},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.513414740562439},{"id":"https://openalex.org/C35527583","wikidata":"https://www.wikidata.org/wiki/Q189156","display_name":"Cellular automaton","level":2,"score":0.5096135139465332},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46956348419189453},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.45053690671920776},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.4127788543701172},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39016199111938477},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3724309802055359}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/ijcvip.2012100105","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijcvip.2012100105","pdf_url":null,"source":{"id":"https://openalex.org/S4210177549","display_name":"International Journal of Computer Vision and Image Processing","issn_l":"2155-6989","issn":["2155-6989","2155-6997"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision and Image Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W22410624","https://openalex.org/W1991905337","https://openalex.org/W2043937508","https://openalex.org/W2058721127","https://openalex.org/W2074355764","https://openalex.org/W2103821219","https://openalex.org/W2106068932","https://openalex.org/W2108704847","https://openalex.org/W2111408804","https://openalex.org/W2120673586","https://openalex.org/W2124592837","https://openalex.org/W2131637713","https://openalex.org/W2138914910","https://openalex.org/W2143804650","https://openalex.org/W2146350180","https://openalex.org/W2154929945","https://openalex.org/W2165675317","https://openalex.org/W2170879027","https://openalex.org/W2171135327","https://openalex.org/W2177763866","https://openalex.org/W2224050061","https://openalex.org/W2549006492","https://openalex.org/W2803783703","https://openalex.org/W2993281142","https://openalex.org/W4240744150"],"related_works":["https://openalex.org/W4312567938","https://openalex.org/W3092835544","https://openalex.org/W2157949623","https://openalex.org/W2356242818","https://openalex.org/W2354100707","https://openalex.org/W2367365714","https://openalex.org/W1967001075","https://openalex.org/W2064144473","https://openalex.org/W2287423788","https://openalex.org/W2049788461"],"abstract_inverted_index":{"Cellular":[0],"Learning":[1],"Automata":[2],"(CLA)":[3],"has":[4,125],"been":[5,63],"used":[6],"in":[7,32,43,67,83,98,129],"many":[8],"fields":[9],"of":[10,22,26,71,88,95,144],"image":[11,58],"processing":[12],"such":[13],"as":[14],"noise":[15],"elimination,":[16],"smoothing,":[17],"retrieval,":[18],"fractionated":[19],"and":[20,34,46,56,105,132],"extraction":[21],"the":[23,27,86,106,120,134],"content":[24],"Characteristics":[25],"images.":[28],"The":[29,92,116],"edge":[30,37,68,81,96,112,130],"detection":[31,69,82,97,131],"images":[33,55,84,99,135],"methods":[35],"if":[36],"detection,":[38],"have":[39],"a":[40,77,126,137,141],"great":[41],"role":[42],"machine":[44],"vision":[45],"cognizance":[47],"systems.":[48],"This":[49],"method":[50,79,94,121],"uses":[51],"operands":[52],"for":[53,80],"analyzing":[54],"digital":[57],"processing.":[59],"Many":[60],"studios":[61],"here":[62],"conducted":[64],"till":[65],"now":[66],"algorithms":[70],"various":[72],"conditions.":[73],"In":[74],"this":[75],"study":[76],"new":[78],"with":[85,102,110,136],"use":[87],"CLA":[89,124],"is":[90],"recommended.":[91],"proposed":[93],"was":[100],"tested":[101],"different":[103],"sizes":[104],"results":[107],"were":[108],"compared":[109],"Sobel":[111],"detector":[113],"classic":[114],"method.":[115],"result":[117],"show":[118],"that":[119],"based":[122],"on":[123],"desirable":[127],"performance":[128],"compares":[133],"more":[138],"uniformity":[139],"during":[140],"minimum":[142],"period":[143],"time.":[145]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
