{"id":"https://openalex.org/W2052496384","doi":"https://doi.org/10.1109/his.2012.6421323","title":"A multilevel thresholding method for image segmentation using a novel hybrid intelligent approach","display_name":"A multilevel thresholding method for image segmentation using a novel hybrid intelligent approach","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2052496384","doi":"https://doi.org/10.1109/his.2012.6421323","mag":"2052496384"},"language":"en","primary_location":{"id":"doi:10.1109/his.2012.6421323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/his.2012.6421323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 12th International Conference on Hybrid Intelligent Systems (HIS)","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/A5044801385","display_name":"Danial Yazdani","orcid":"https://orcid.org/0000-0002-7799-5013"},"institutions":[{"id":"https://openalex.org/I110525433","display_name":"Islamic Azad University, Tehran","ror":"https://ror.org/01kzn7k21","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433"]},{"id":"https://openalex.org/I183859904","display_name":"Islamic Azad University, Mashhad","ror":"https://ror.org/00bvysh61","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I183859904"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Danial Yazdani","raw_affiliation_strings":["Young Researchers Club, Islamic Azad University, Iran","Young Researchers Club, Mashhad Branch Islamic Azad University, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Young Researchers Club, Islamic Azad University, Iran","institution_ids":["https://openalex.org/I110525433"]},{"raw_affiliation_string":"Young Researchers Club, Mashhad Branch Islamic Azad University, Iran","institution_ids":["https://openalex.org/I183859904"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046682940","display_name":"Alireza Arabshahi","orcid":"https://orcid.org/0000-0003-1656-7741"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alireza Arabshahi","raw_affiliation_strings":["University of Information Technology and Management, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Information Technology and Management, Tehran, Iran","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088311682","display_name":"Alireza Sepas\u2010Moghaddam","orcid":"https://orcid.org/0000-0002-4881-5386"},"institutions":[{"id":"https://openalex.org/I197220011","display_name":"Qazvin Islamic Azad University","ror":"https://ror.org/023kjn321","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I197220011"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Alireza Sepas-Moghaddam","raw_affiliation_strings":["Department of Computer and IT Engineering, Islamic Azad University, Qazvin, Iran","Department of Computer and IT Engineering, Islamic Azad University, Qazvin Branch, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and IT Engineering, Islamic Azad University, Qazvin, Iran","institution_ids":["https://openalex.org/I197220011"]},{"raw_affiliation_string":"Department of Computer and IT Engineering, Islamic Azad University, Qazvin Branch, Iran","institution_ids":["https://openalex.org/I197220011"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065991691","display_name":"Mohammad Mahdi Dehshibi","orcid":"https://orcid.org/0000-0001-8112-5419"},"institutions":[{"id":"https://openalex.org/I110525433","display_name":"Islamic Azad University, Tehran","ror":"https://ror.org/01kzn7k21","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433"]},{"id":"https://openalex.org/I2802594446","display_name":"Islamic Azad University of Parand","ror":"https://ror.org/02mgtjj52","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I2802594446"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Mahdi Dehshibi","raw_affiliation_strings":["Department of Computer and IT Engineering, Islamic Azad University, Tehran, Iran","Department of Computer and IT Engineering, Islamic Azad University, Parand Branch, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and IT Engineering, Islamic Azad University, Tehran, Iran","institution_ids":["https://openalex.org/I110525433"]},{"raw_affiliation_string":"Department of Computer and IT Engineering, Islamic Azad University, Parand Branch, Tehran, Iran","institution_ids":["https://openalex.org/I2802594446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4905,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83607633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"21","issue":null,"first_page":"137","last_page":"142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9926000237464905,"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"}},"topics":[{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9926000237464905,"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"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9901000261306763,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9534000158309937,"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/image-segmentation","display_name":"Image segmentation","score":0.7300429344177246},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6681384444236755},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6631342172622681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6425185203552246},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.6075754165649414},{"id":"https://openalex.org/keywords/learning-automata","display_name":"Learning automata","score":0.577748715877533},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5713901519775391},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5533711910247803},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.544133186340332},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5393834114074707},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5214356780052185},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.512554407119751},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4893421530723572},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4318888187408447},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.42461097240448},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26691633462905884},{"id":"https://openalex.org/keywords/automaton","display_name":"Automaton","score":0.23909002542495728}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.7300429344177246},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6681384444236755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6631342172622681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6425185203552246},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.6075754165649414},{"id":"https://openalex.org/C2776807809","wikidata":"https://www.wikidata.org/wiki/Q6510160","display_name":"Learning automata","level":3,"score":0.577748715877533},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5713901519775391},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5533711910247803},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.544133186340332},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5393834114074707},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5214356780052185},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.512554407119751},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4893421530723572},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4318888187408447},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.42461097240448},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26691633462905884},{"id":"https://openalex.org/C112505250","wikidata":"https://www.wikidata.org/wiki/Q787116","display_name":"Automaton","level":2,"score":0.23909002542495728},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/his.2012.6421323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/his.2012.6421323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 12th International Conference on Hybrid Intelligent Systems (HIS)","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":19,"referenced_works":["https://openalex.org/W1489608363","https://openalex.org/W1585002319","https://openalex.org/W1981166861","https://openalex.org/W1984059173","https://openalex.org/W1988505977","https://openalex.org/W1990989659","https://openalex.org/W2001360116","https://openalex.org/W2040628945","https://openalex.org/W2059442341","https://openalex.org/W2104447397","https://openalex.org/W2121490093","https://openalex.org/W2138914910","https://openalex.org/W2151559233","https://openalex.org/W2152195021","https://openalex.org/W2157993775","https://openalex.org/W2165299997","https://openalex.org/W2170741744","https://openalex.org/W4403876929","https://openalex.org/W7027716524"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2372421320","https://openalex.org/W2057775483","https://openalex.org/W2041871225","https://openalex.org/W2386644571","https://openalex.org/W2387793296","https://openalex.org/W1558398159","https://openalex.org/W2371519352"],"abstract_inverted_index":{"Swarm":[0],"intelligence":[1,34],"algorithms":[2,35],"have":[3],"been":[4,95,107],"extensively":[5],"used":[6],"in":[7,21],"clustering":[8],"based":[9,38,50,78],"applications":[10],"e.g.":[11],"image":[12,22,60],"segmentation":[13,84],"which":[14],"is":[15,31,57,68],"one":[16],"of":[17,82,102,111],"the":[18,63,83,103,118],"fundamental":[19],"components":[20],"analysis":[23],"and":[24,41,54,72,75,114],"pattern":[25],"recognition":[26],"domains.":[27],"Particle":[28],"swarm":[29,33],"optimization":[30],"amongst":[32],"that":[36,110],"performs":[37],"on":[39,51,79],"population":[40],"random":[42],"search.":[43],"In":[44,62],"this":[45],"paper,":[46],"a":[47],"hybrid":[48],"algorithm":[49],"PSO,":[52],"k-means":[53,76],"learning":[55,66],"automata":[56,67],"proposed":[58,64,87,104,120],"for":[59,70,97],"segmentation.":[61],"algorithm,":[65],"responsible":[69],"activating":[71],"deactivating":[73],"PSO":[74],"methods":[77,113],"current":[80],"conditions":[81],"problem.":[85],"The":[86],"approach":[88],"along":[89],"with":[90,109],"other":[91,112],"comparative":[92],"studies":[93],"has":[94,106],"applied":[96],"segmenting":[98],"benchmark":[99],"images.":[100],"Efficiency":[101],"method":[105],"compared":[108],"experimental":[115],"results":[116],"show":[117],"superiority":[119],"algorithm.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}