{"id":"https://openalex.org/W2991198038","doi":"https://doi.org/10.1142/s0218001420540300","title":"An Image Segmentation Method Based on Two-Dimensional Entropy and Chaotic Lightning Attachment Procedure Optimization Algorithm","display_name":"An Image Segmentation Method Based on Two-Dimensional Entropy and Chaotic Lightning Attachment Procedure Optimization Algorithm","publication_year":2019,"publication_date":"2019-11-29","ids":{"openalex":"https://openalex.org/W2991198038","doi":"https://doi.org/10.1142/s0218001420540300","mag":"2991198038"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001420540300","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001420540300","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5100763577","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0003-2630-6270"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0000-0003-2630-6270","affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736165","display_name":"Shuai Yang","orcid":"https://orcid.org/0000-0002-7928-7889"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Yang","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100670242","display_name":"Zhiwei Ye","orcid":"https://orcid.org/0000-0001-6668-4634"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Ye","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079178505","display_name":"Qian Huang","orcid":"https://orcid.org/0000-0001-5625-0402"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Huang","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078306601","display_name":"Yongkun Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongkun Huang","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I74525822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74525822"],"apc_list":null,"apc_paid":null,"fwci":0.4963,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.69699581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"34","issue":"11","first_page":"2054030","last_page":"2054030"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9984999895095825,"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":0.9976000189781189,"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":0.9973000288009644,"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/computer-science","display_name":"Computer science","score":0.6202306151390076},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6148766875267029},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5535399317741394},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.5509886741638184},{"id":"https://openalex.org/keywords/harmony-search","display_name":"Harmony search","score":0.5446802973747253},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5264742374420166},{"id":"https://openalex.org/keywords/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.5115612149238586},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4564421772956848},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.43768125772476196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38906949758529663},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37583354115486145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27143746614456177}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6202306151390076},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6148766875267029},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5535399317741394},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.5509886741638184},{"id":"https://openalex.org/C33099171","wikidata":"https://www.wikidata.org/wiki/Q26208718","display_name":"Harmony search","level":2,"score":0.5446802973747253},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5264742374420166},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.5115612149238586},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4564421772956848},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.43768125772476196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38906949758529663},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37583354115486145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27143746614456177},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001420540300","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001420540300","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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":31,"referenced_works":["https://openalex.org/W1102883814","https://openalex.org/W1976683086","https://openalex.org/W2001979953","https://openalex.org/W2007021274","https://openalex.org/W2018862333","https://openalex.org/W2081200191","https://openalex.org/W2110158442","https://openalex.org/W2120627761","https://openalex.org/W2141358266","https://openalex.org/W2142332605","https://openalex.org/W2151554678","https://openalex.org/W2232317135","https://openalex.org/W2290883490","https://openalex.org/W2412782625","https://openalex.org/W2471121365","https://openalex.org/W2542281754","https://openalex.org/W2543402402","https://openalex.org/W2585392941","https://openalex.org/W2671023819","https://openalex.org/W2754691136","https://openalex.org/W2791347599","https://openalex.org/W2793019209","https://openalex.org/W2808781017","https://openalex.org/W2885494115","https://openalex.org/W2887766607","https://openalex.org/W2891074550","https://openalex.org/W2891153504","https://openalex.org/W2896642010","https://openalex.org/W2910033167","https://openalex.org/W2942554482","https://openalex.org/W2943779402"],"related_works":["https://openalex.org/W2372590961","https://openalex.org/W4214893532","https://openalex.org/W4294306415","https://openalex.org/W2027176979","https://openalex.org/W883652255","https://openalex.org/W4200117979","https://openalex.org/W2028503915","https://openalex.org/W2365965409","https://openalex.org/W2332892177","https://openalex.org/W2043320108"],"abstract_inverted_index":{"Threshold":[0],"segmentation":[1,212],"has":[2],"been":[3,69],"widely":[4],"used":[5],"in":[6,71,99,128,165],"recent":[7],"years":[8],"due":[9],"to":[10,111,120],"its":[11],"simplicity":[12],"and":[13,38,47,102,143,159,179],"efficiency.":[14],"The":[15],"method":[16,126,202],"of":[17,28,32,40,56,83,124,135,157,177,194,199,210],"segmenting":[18],"images":[19,158],"by":[20],"the":[21,29,36,48,54,61,76,122,125,131,160,192,195,197,200,208],"two-dimensional":[22,93],"maximum":[23,94,172],"entropy":[24,95],"is":[25,97,107,203],"a":[26,92,104,113],"species":[27],"useful":[30],"technique":[31,42,82],"threshold":[33,78,184],"segmentation.":[34],"However,":[35],"efficiency":[37],"stability":[39],"this":[41,72,100,129],"are":[43,148,151,163],"still":[44],"not":[45],"ideal":[46],"traditional":[49],"search":[50],"algorithm":[51,89,115],"cannot":[52],"meet":[53,207],"needs":[55,209],"engineering":[57],"problems.":[58],"To":[59],"mitigate":[60],"above":[62],"problem,":[63],"swarm":[64],"intelligent":[65],"optimization":[66,87],"algorithms":[67],"have":[68],"employed":[70],"field":[73],"for":[74,186],"searching":[75],"optimal":[77],"vector.":[79],"An":[80],"effective":[81],"lightning":[84],"attachment":[85],"procedure":[86],"(LAPO)":[88],"based":[90],"on":[91,153],"criterion":[96],"offered":[98],"paper,":[101,130],"besides,":[103],"chaotic":[105],"strategy":[106],"embedded":[108],"into":[109],"LAPO":[110],"develop":[112],"new":[114],"named":[116],"CLAPO.":[117],"In":[118],"order":[119],"confirm":[121],"benefits":[123],"proposed":[127],"other":[132,180],"seven":[133],"kinds":[134,156],"competitive":[136],"algorithms,":[137],"such":[138],"as":[139,169],"Ant\u2013lion":[140],"Optimizer":[141],"(ALO)":[142],"Grasshopper":[144],"Optimization":[145],"Algorithm":[146],"(GOA),":[147],"compared.":[149],"Experiments":[150],"conducted":[152],"four":[154],"different":[155,183],"simulation":[161],"results":[162,193],"presented":[164],"several":[166],"indexes":[167],"(such":[168],"computational":[170],"time,":[171],"fitness,":[173,175],"average":[174],"variance":[176],"fitness":[178],"indexes)":[181],"at":[182],"levels":[185],"each":[187],"test":[188],"image.":[189],"By":[190],"scrutinizing":[191],"experiment,":[196],"superiority":[198],"introduced":[201],"demonstrated,":[204],"which":[205],"can":[206],"image":[211],"excellently.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
