{"id":"https://openalex.org/W4400114074","doi":"https://doi.org/10.1109/mipro60963.2024.10569817","title":"Multilevel Thresholding for Image Segmentation using Particle Swarm Optimization with Chaotic Inertia Weight","display_name":"Multilevel Thresholding for Image Segmentation using Particle Swarm Optimization with Chaotic Inertia Weight","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4400114074","doi":"https://doi.org/10.1109/mipro60963.2024.10569817"},"language":"en","primary_location":{"id":"doi:10.1109/mipro60963.2024.10569817","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mipro60963.2024.10569817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 47th MIPRO ICT and Electronics Convention (MIPRO)","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/A5031047306","display_name":"Emir Turajli\u0107","orcid":"https://orcid.org/0000-0003-0274-660X"},"institutions":[{"id":"https://openalex.org/I104817121","display_name":"University of Sarajevo","ror":"https://ror.org/02hhwgd43","country_code":"BA","type":"education","lineage":["https://openalex.org/I104817121"]}],"countries":["BA"],"is_corresponding":true,"raw_author_name":"Emir Turajlic","raw_affiliation_strings":["University of Sarajevo,Faculty of Electrical Engineering,Sarajevo,Bosnia and Herzegovina"],"affiliations":[{"raw_affiliation_string":"University of Sarajevo,Faculty of Electrical Engineering,Sarajevo,Bosnia and Herzegovina","institution_ids":["https://openalex.org/I104817121"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5031047306"],"corresponding_institution_ids":["https://openalex.org/I104817121"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07490644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"785","last_page":"789"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9976000189781189,"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":0.9976000189781189,"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":0.9975000023841858,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.996999979019165,"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":0.7966508269309998},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7803510427474976},{"id":"https://openalex.org/keywords/inertia","display_name":"Inertia","score":0.7354260683059692},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.7194567918777466},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6647794246673584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5940026044845581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5424197316169739},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5415241718292236},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5149010419845581},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.49695637822151184},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39372485876083374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3281556963920593},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12738028168678284}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.7966508269309998},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7803510427474976},{"id":"https://openalex.org/C110407247","wikidata":"https://www.wikidata.org/wiki/Q122508","display_name":"Inertia","level":2,"score":0.7354260683059692},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.7194567918777466},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6647794246673584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5940026044845581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5424197316169739},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5415241718292236},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5149010419845581},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.49695637822151184},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39372485876083374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3281556963920593},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12738028168678284},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mipro60963.2024.10569817","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mipro60963.2024.10569817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 47th MIPRO ICT and Electronics Convention (MIPRO)","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":24,"referenced_works":["https://openalex.org/W1577668191","https://openalex.org/W1786686177","https://openalex.org/W1820051232","https://openalex.org/W1835176610","https://openalex.org/W1967220039","https://openalex.org/W1986834168","https://openalex.org/W2050923330","https://openalex.org/W2145617041","https://openalex.org/W2342702938","https://openalex.org/W2589233518","https://openalex.org/W2802014249","https://openalex.org/W2908286818","https://openalex.org/W2987923771","https://openalex.org/W2999075518","https://openalex.org/W3001337571","https://openalex.org/W3123378962","https://openalex.org/W3176195813","https://openalex.org/W4200315031","https://openalex.org/W4296251495","https://openalex.org/W4312090353","https://openalex.org/W4385012745","https://openalex.org/W4388032919","https://openalex.org/W4390481802","https://openalex.org/W4390590723"],"related_works":["https://openalex.org/W1982679530","https://openalex.org/W3111286355","https://openalex.org/W4285212364","https://openalex.org/W2360100473","https://openalex.org/W2138983844","https://openalex.org/W2147124600","https://openalex.org/W1968965685","https://openalex.org/W2012792772","https://openalex.org/W2356573839","https://openalex.org/W2111883783"],"abstract_inverted_index":{"In":[0,47],"this":[1],"paper,":[2],"the":[3,10,49,53,84],"multilevel":[4,54,71,97],"image":[5,43,98],"thresholding":[6,55,72],"methods":[7,73],"based":[8,57,75],"on":[9,58,76],"particle":[11,85],"swarm":[12,86],"optimization":[13,87],"algorithm":[14],"and":[15,65],"different":[16],"chaotic":[17,27,89],"inertia":[18,28,63,67,90],"weight":[19,29,64,91],"strategies":[20],"are":[21,45,74],"considered.":[22,46],"The":[23,79],"performance":[24,56],"of":[25,36,42],"each":[26],"strategy":[30],"is":[31],"evaluated":[32],"using":[33],"a":[34],"set":[35],"standard":[37],"test":[38],"images.":[39],"Different":[40],"numbers":[41],"classes":[44],"addition,":[48],"paper":[50],"also":[51],"considers":[52],"commonly":[59],"employed":[60],"linear":[61],"decreasing":[62],"random":[66],"weight.":[68],"All":[69],"considered":[70],"Kapur\u2019s":[77],"entropy.":[78],"experimental":[80],"results":[81],"demonstrate":[82],"that":[83],"with":[88],"can":[92],"be":[93],"successfully":[94],"used":[95],"for":[96],"thresholding.":[99]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}