{"id":"https://openalex.org/W4293185756","doi":"https://doi.org/10.1007/s40747-022-00718-5","title":"A new method for image processing using generalized linguistic neutrosophic cubic aggregation operator","display_name":"A new method for image processing using generalized linguistic neutrosophic cubic aggregation operator","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4293185756","doi":"https://doi.org/10.1007/s40747-022-00718-5"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-022-00718-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-022-00718-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-022-00718-5.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-022-00718-5.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078907469","display_name":"Gagandeep Kaur","orcid":"https://orcid.org/0000-0002-1827-3774"},"institutions":[{"id":"https://openalex.org/I101407740","display_name":"Chandigarh University","ror":"https://ror.org/05t4pvx35","country_code":"IN","type":"education","lineage":["https://openalex.org/I101407740"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gagandeep Kaur","raw_affiliation_strings":["Department of Mathematics, University Institute of Sciences, Chandigarh University, Gharuan, Mohali Punjab, 140413, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University Institute of Sciences, Chandigarh University, Gharuan, Mohali Punjab, 140413, India","institution_ids":["https://openalex.org/I101407740"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054194585","display_name":"Harish Garg","orcid":"https://orcid.org/0000-0001-9099-8422"},"institutions":[{"id":"https://openalex.org/I162030827","display_name":"Thapar Institute of Engineering & Technology","ror":"https://ror.org/00wdq3744","country_code":"IN","type":"education","lineage":["https://openalex.org/I162030827"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Harish Garg","raw_affiliation_strings":["School of Mathematics, Thapar Institute of Engineering and Technology, Deemed University, Patiala Punjab, 147004, India"],"raw_orcid":"https://orcid.org/0000-0001-9099-8422","affiliations":[{"raw_affiliation_string":"School of Mathematics, Thapar Institute of Engineering and Technology, Deemed University, Patiala Punjab, 147004, India","institution_ids":["https://openalex.org/I162030827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054194585"],"corresponding_institution_ids":["https://openalex.org/I162030827"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":4.0681,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.94371905,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"8","issue":"6","first_page":"4911","last_page":"4937"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11671","display_name":"Fuzzy and Soft Set Theory","score":0.9542999863624573,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9214000105857849,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.6934453845024109},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5611556172370911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5428938269615173},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.528806209564209},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.513950526714325},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5138159394264221},{"id":"https://openalex.org/keywords/readability","display_name":"Readability","score":0.4805910587310791},{"id":"https://openalex.org/keywords/clarity","display_name":"CLARITY","score":0.4787696897983551},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.46918344497680664},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4208073914051056},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42006444931030273},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.390750527381897},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37756645679473877},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34919261932373047},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3480275273323059},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3205917477607727}],"concepts":[{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.6934453845024109},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5611556172370911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5428938269615173},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.528806209564209},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.513950526714325},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5138159394264221},{"id":"https://openalex.org/C2778143727","wikidata":"https://www.wikidata.org/wiki/Q1820650","display_name":"Readability","level":2,"score":0.4805910587310791},{"id":"https://openalex.org/C2777146004","wikidata":"https://www.wikidata.org/wiki/Q14949826","display_name":"CLARITY","level":2,"score":0.4787696897983551},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.46918344497680664},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4208073914051056},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42006444931030273},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.390750527381897},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37756645679473877},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34919261932373047},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3480275273323059},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3205917477607727},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s40747-022-00718-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-022-00718-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-022-00718-5.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s40747-022-00718-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-022-00718-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-022-00718-5.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293185756.pdf","grobid_xml":"https://content.openalex.org/works/W4293185756.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1517383900","https://openalex.org/W1595461165","https://openalex.org/W1818122362","https://openalex.org/W1963974799","https://openalex.org/W1971875039","https://openalex.org/W1973068905","https://openalex.org/W1976567794","https://openalex.org/W1980564456","https://openalex.org/W1981107087","https://openalex.org/W1982708051","https://openalex.org/W2000578209","https://openalex.org/W2002814313","https://openalex.org/W2050085890","https://openalex.org/W2055976711","https://openalex.org/W2090922444","https://openalex.org/W2111211679","https://openalex.org/W2182301087","https://openalex.org/W2187360662","https://openalex.org/W2301439202","https://openalex.org/W2464342393","https://openalex.org/W2517165124","https://openalex.org/W2605522824","https://openalex.org/W2612520647","https://openalex.org/W2735483683","https://openalex.org/W2752098511","https://openalex.org/W2758823124","https://openalex.org/W2787988918","https://openalex.org/W2800764130","https://openalex.org/W2885494115","https://openalex.org/W2911336948","https://openalex.org/W2946943195","https://openalex.org/W2985945431","https://openalex.org/W2997462527","https://openalex.org/W3000207170","https://openalex.org/W3000887683","https://openalex.org/W3020347529","https://openalex.org/W3167860721","https://openalex.org/W4211007335","https://openalex.org/W4220694800","https://openalex.org/W4226098341","https://openalex.org/W4226524783","https://openalex.org/W4292078529"],"related_works":["https://openalex.org/W2070586283","https://openalex.org/W4366988985","https://openalex.org/W2110858807","https://openalex.org/W2108478004","https://openalex.org/W4282970279","https://openalex.org/W2123058542","https://openalex.org/W3184162158","https://openalex.org/W3215533237","https://openalex.org/W2082846337","https://openalex.org/W2118645886"],"abstract_inverted_index":{"Abstract":[0],"Image":[1],"processing":[2,92],"is":[3,40,56,68,154],"a":[4,29,206],"technique":[5],"of":[6,31,37,58,61,141,179],"scrutinizing":[7],"an":[8],"image":[9,91,130],"and":[10,39,46,73,98,131,151,168,195],"extricating":[11],"important":[12],"information.":[13,48],"Indecisive":[14],"situations":[15],"are":[16],"generally":[17],"undergone":[18],"when":[19],"the":[20,35,50,59,62,71,79,109,125,128,139,157,176,199,212,217],"picture":[21],"processes":[22],"with":[23,44,183],"profuse":[24],"noise.":[25],"Neutrosophic":[26],"set":[27,54],"(NS),":[28],"part":[30],"neutrosophy":[32],"theory,":[33],"studies":[34],"scope":[36],"neutralities":[38],"essential":[41],"to":[42,77,210],"reasoning":[43],"incomplete":[45],"uncertain":[47],"However,":[49],"linguistic":[51],"neutrosophic":[52,75],"cubic":[53],"(LNCS)":[55],"one":[57],"extensions":[60],"NS.":[63],"In":[64,100,170],"LNCS,":[65],"each":[66],"element":[67],"characterized":[69],"by":[70,160],"interval-valued":[72],"single-valued":[74],"numbers":[76],"handle":[78],"data":[80],"uncertainties.":[81],"Keeping":[82],"these":[83],"features":[84],"in":[85,127],"mind,":[86],"we":[87,172],"apply":[88],"LNCS":[89,110],"for":[90],"after":[93],"defining":[94],"their":[95],"aggregation":[96,119],"operators":[97,142],"operations.":[99],"this":[101],"study,":[102],"noisy":[103],"grey-scale":[104],"images":[105,213],"were":[106],"transformed":[107],"into":[108],"domain":[111],"using":[112,118,216],"three":[113,132],"membership":[114],"degrees,":[115],"then":[116],"aggregated":[117],"operators.":[120],"The":[121,186],"proposed":[122,158,181],"method":[123,182],"clarifies":[124],"noise":[126,162],"Lena":[129],"other":[133],"test":[134],"images.":[135],"It":[136],"has":[137],"justified":[138],"utilization":[140],"based":[143],"on":[144,156],"visual":[145],"clarity":[146],"obtained.":[147],"Suitable":[148],"comparison":[149],"analysis":[150],"efficiency":[152,178],"testing":[153],"performed":[155],"theory":[159],"considering":[161],"types,":[163],"such":[164],"as":[165],"Gaussian,":[166],"Poisson,":[167],"Speckle.":[169],"addition,":[171],"have":[173],"also":[174],"compared":[175],"computational":[177],"our":[180,190],"existing":[184,200],"ones.":[185],"results":[187],"show":[188],"that":[189],"approach":[191],"consumes":[192],"less":[193],"memory":[194],"executes":[196],"quicker":[197],"than":[198],"methods.":[201],"A":[202],"decision-maker":[203],"can":[204],"select":[205],"more":[207,214],"effective":[208],"operator":[209],"segment":[211],"effectively":[215],"obtained":[218],"results.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}