{"id":"https://openalex.org/W4402513323","doi":"https://doi.org/10.1007/s10044-024-01332-6","title":"Methods for calculating gliding-box lacunarity efficiently on large datasets","display_name":"Methods for calculating gliding-box lacunarity efficiently on large datasets","publication_year":2024,"publication_date":"2024-09-13","ids":{"openalex":"https://openalex.org/W4402513323","doi":"https://doi.org/10.1007/s10044-024-01332-6"},"language":"en","primary_location":{"id":"doi:10.1007/s10044-024-01332-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10044-024-01332-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10044-024-01332-6.pdf","source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"is_oa":false,"is_in_doaj":false,"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":"Pattern Analysis and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10044-024-01332-6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053480795","display_name":"B\u00e1lint Barna H. Kov\u00e1cs","orcid":"https://orcid.org/0000-0003-2486-8579"},"institutions":[{"id":"https://openalex.org/I227486990","display_name":"University of Szeged","ror":"https://ror.org/01pnej532","country_code":"HU","type":"education","lineage":["https://openalex.org/I227486990"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"B\u00e1lint Barna H. Kov\u00e1cs","raw_affiliation_strings":["Department of Optics and Quantum Electronics, University of Szeged, D\u00f3m square 9, Szeged, 6720, Hungary"],"raw_orcid":"https://orcid.org/0000-0003-2486-8579","affiliations":[{"raw_affiliation_string":"Department of Optics and Quantum Electronics, University of Szeged, D\u00f3m square 9, Szeged, 6720, Hungary","institution_ids":["https://openalex.org/I227486990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061654929","display_name":"Mikl\u00f3s Erd\u00e9lyi","orcid":"https://orcid.org/0000-0001-5152-0020"},"institutions":[{"id":"https://openalex.org/I227486990","display_name":"University of Szeged","ror":"https://ror.org/01pnej532","country_code":"HU","type":"education","lineage":["https://openalex.org/I227486990"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Mikl\u00f3s Erd\u00e9lyi","raw_affiliation_strings":["Department of Optics and Quantum Electronics, University of Szeged, D\u00f3m square 9, Szeged, 6720, Hungary"],"raw_orcid":"https://orcid.org/0000-0001-5152-0020","affiliations":[{"raw_affiliation_string":"Department of Optics and Quantum Electronics, University of Szeged, D\u00f3m square 9, Szeged, 6720, Hungary","institution_ids":["https://openalex.org/I227486990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5053480795"],"corresponding_institution_ids":["https://openalex.org/I227486990"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.6077,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73828269,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"27","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9966999888420105,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9966999888420105,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9695000052452087,"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/lacunarity","display_name":"Lacunarity","score":0.921944797039032},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6246256828308105},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5837306380271912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4975910484790802},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3918699324131012},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21511587500572205},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.15495428442955017},{"id":"https://openalex.org/keywords/fractal-dimension","display_name":"Fractal dimension","score":0.06550252437591553}],"concepts":[{"id":"https://openalex.org/C136534824","wikidata":"https://www.wikidata.org/wiki/Q2771020","display_name":"Lacunarity","level":4,"score":0.921944797039032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6246256828308105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5837306380271912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4975910484790802},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3918699324131012},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21511587500572205},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.15495428442955017},{"id":"https://openalex.org/C26546657","wikidata":"https://www.wikidata.org/wiki/Q1412452","display_name":"Fractal dimension","level":3,"score":0.06550252437591553},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10044-024-01332-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10044-024-01332-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10044-024-01332-6.pdf","source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"is_oa":false,"is_in_doaj":false,"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":"Pattern Analysis and Applications","raw_type":"journal-article"},{"id":"pmh:oai:publicatio.bibl.u-szeged.hu:35199","is_oa":true,"landing_page_url":null,"pdf_url":"http://publicatio.bibl.u-szeged.hu/35199/2/s10044-024-01332-6_fulltext.pdf","source":{"id":"https://openalex.org/S4306400436","display_name":"SZTE Publicatio Repozit\u00f3rium (University of Szeged)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I227486990","host_organization_name":"University of Szeged","host_organization_lineage":["https://openalex.org/I227486990"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":{"id":"doi:10.1007/s10044-024-01332-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10044-024-01332-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10044-024-01332-6.pdf","source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"is_oa":false,"is_in_doaj":false,"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":"Pattern Analysis and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2953162778","display_name":null,"funder_award_id":"TKP2021-NVA","funder_id":"https://openalex.org/F4320335908","funder_display_name":"Nemzeti Kutat\u00e1si, Fejleszt\u00e9si \u00e9s Innovaci\u00f3s Alap"},{"id":"https://openalex.org/G298428782","display_name":null,"funder_award_id":"TKP2021","funder_id":"https://openalex.org/F4320335908","funder_display_name":"Nemzeti Kutat\u00e1si, Fejleszt\u00e9si \u00e9s Innovaci\u00f3s Alap"},{"id":"https://openalex.org/G3289373756","display_name":null,"funder_award_id":"TKP2021-NVA-19","funder_id":"https://openalex.org/F4320335908","funder_display_name":"Nemzeti Kutat\u00e1si, Fejleszt\u00e9si \u00e9s Innovaci\u00f3s Alap"}],"funders":[{"id":"https://openalex.org/F4320329149","display_name":"Szegedi Tudom\u00e1nyegyetem","ror":"https://ror.org/01pnej532"},{"id":"https://openalex.org/F4320335908","display_name":"Nemzeti Kutat\u00e1si, Fejleszt\u00e9si \u00e9s Innovaci\u00f3s Alap","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402513323.pdf","grobid_xml":"https://content.openalex.org/works/W4402513323.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1600253015","https://openalex.org/W1981223952","https://openalex.org/W2007298029","https://openalex.org/W2028045978","https://openalex.org/W2050422776","https://openalex.org/W2063296304","https://openalex.org/W2071570980","https://openalex.org/W2082391016","https://openalex.org/W2109655509","https://openalex.org/W2148141447","https://openalex.org/W2154161333","https://openalex.org/W2161937151","https://openalex.org/W2293099462","https://openalex.org/W2798361719","https://openalex.org/W2800860906","https://openalex.org/W3097096317","https://openalex.org/W3163238133","https://openalex.org/W4303628197","https://openalex.org/W4361007348"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W1975962400","https://openalex.org/W2740316614","https://openalex.org/W2376830230","https://openalex.org/W31052646","https://openalex.org/W2249479269","https://openalex.org/W2039634761","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Abstract":[0],"Lacunarity":[1],"has":[2,23,145],"proven":[3],"to":[4,20,27,61],"be":[5,36,50],"a":[6],"useful,":[7],"multifaceted":[8],"tool":[9],"for":[10,119],"image":[11],"analysis":[12,30,125],"in":[13],"several":[14],"different":[15],"scientific":[16],"fields,":[17],"from":[18],"geography":[19],"virology,":[21],"which":[22],"lent":[24],"increasing":[25],"importance":[26],"the":[28,41,46,82,95,130,140],"lacunarity":[29,76],"of":[31,78,88,115,129,136],"large":[32,64],"datasets.":[33,65],"It":[34],"can":[35,49,73],"most":[37],"reliably":[38],"calculated":[39],"with":[40,94,100],"so-called":[42],"gliding-box":[43,75],"method,":[44],"but":[45,143],"evaluation":[47],"process":[48],"exceedingly":[51],"time-consuming":[52],"and":[53,111,122,148],"unviable":[54],"as":[55,97,99],"this":[56],"algorithm":[57],"is":[58],"not":[59],"designed":[60],"operate":[62],"on":[63,107],"Here":[66],"we":[67],"introduce":[68],"two":[69,101],"novel":[70],"methods":[71,93,105,118,133],"that":[72,127],"calculate":[74],"orders":[77,135],"magnitude":[79,137],"faster":[80,138],"than":[81,139],"original":[83,96,141],"method":[84],"without":[85],"any":[86],"loss":[87],"accuracy.":[89],"We":[90],"compare":[91],"these":[92],"well":[98],"already":[102],"existing":[103],"optimized":[104,132],"based":[106],"runtime":[108],"memory":[109],"usage":[110],"complexity.":[112],"The":[113],"application":[114],"all":[116],"five":[117],"both":[120],"2D":[121],"3D":[123],"datasets":[124],"confirms":[126],"each":[128,144],"four":[131],"are":[134],"one,":[142],"its":[146],"advantages":[147],"limitations.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}