{"id":"https://openalex.org/W4378901510","doi":"https://doi.org/10.3390/data8060099","title":"Classification of Cocoa Pod Maturity Using Similarity Tools on an Image Database: Comparison of Feature Extractors and Color Spaces","display_name":"Classification of Cocoa Pod Maturity Using Similarity Tools on an Image Database: Comparison of Feature Extractors and Color Spaces","publication_year":2023,"publication_date":"2023-05-30","ids":{"openalex":"https://openalex.org/W4378901510","doi":"https://doi.org/10.3390/data8060099"},"language":"en","primary_location":{"id":"doi:10.3390/data8060099","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data8060099","pdf_url":"https://www.mdpi.com/2306-5729/8/6/99/pdf?version=1685498211","source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2306-5729/8/6/99/pdf?version=1685498211","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043206841","display_name":"Kacoutchy Jean Ayikpa","orcid":"https://orcid.org/0000-0002-1209-5874"},"institutions":[{"id":"https://openalex.org/I17024267","display_name":"Universit\u00e9 Nangui Abrogoua","ror":"https://ror.org/0462xwv27","country_code":"CI","type":"education","lineage":["https://openalex.org/I17024267"]},{"id":"https://openalex.org/I4210093987","display_name":"Imaging, Brain, and Neuropsychiatry","ror":"https://ror.org/01eem7c55","country_code":"FR","type":"facility","lineage":["https://openalex.org/I110017253","https://openalex.org/I154526488","https://openalex.org/I4210093987"]},{"id":"https://openalex.org/I4210118524","display_name":"Universit\u00e9 Bourgogne Franche-Comt\u00e9","ror":"https://ror.org/02dn7x778","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210118524"]},{"id":"https://openalex.org/I4388446411","display_name":"Universit\u00e9 Virtuelle de C\u00f4te d'Ivoire","ror":"https://ror.org/012cw1a31","country_code":"CI","type":"education","lineage":["https://openalex.org/I4388446411"]},{"id":"https://openalex.org/I48615539","display_name":"Universit\u00e9 F\u00e9lix Houphou\u00ebt-Boigny","ror":"https://ror.org/03haqmz43","country_code":"CI","type":"education","lineage":["https://openalex.org/I48615539"]}],"countries":["CI","FR"],"is_corresponding":true,"raw_author_name":"Kacoutchy Jean Ayikpa","raw_affiliation_strings":["Laboratoire Imagerie et Vision Artificielle (ImVia), Universit\u00e9 Bourgogne Franche-Comt\u00e9, 21000 Dijon, France","Laboratoire de M\u00e9canique et Information (LaMI), Universit\u00e9 Felix Houphou\u00ebt-Boigny, Abidjan 22 BP 801, C\u00f4te d\u2019Ivoire","Unit\u00e9 de Recherche et d\u2019Expertise Num\u00e9rique (UREN), Universit\u00e9 Virtuelle de C\u00f4te d\u2019Ivoire, Abidjan 28 BP 536, C\u00f4te d\u2019Ivoire"],"raw_orcid":"https://orcid.org/0000-0002-1209-5874","affiliations":[{"raw_affiliation_string":"Laboratoire Imagerie et Vision Artificielle (ImVia), Universit\u00e9 Bourgogne Franche-Comt\u00e9, 21000 Dijon, France","institution_ids":["https://openalex.org/I4210093987","https://openalex.org/I4210118524"]},{"raw_affiliation_string":"Laboratoire de M\u00e9canique et Information (LaMI), Universit\u00e9 Felix Houphou\u00ebt-Boigny, Abidjan 22 BP 801, C\u00f4te d\u2019Ivoire","institution_ids":["https://openalex.org/I48615539"]},{"raw_affiliation_string":"Unit\u00e9 de Recherche et d\u2019Expertise Num\u00e9rique (UREN), Universit\u00e9 Virtuelle de C\u00f4te d\u2019Ivoire, Abidjan 28 BP 536, C\u00f4te d\u2019Ivoire","institution_ids":["https://openalex.org/I17024267","https://openalex.org/I4388446411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113984839","display_name":"Diarra Mamadou","orcid":null},"institutions":[{"id":"https://openalex.org/I48615539","display_name":"Universit\u00e9 F\u00e9lix Houphou\u00ebt-Boigny","ror":"https://ror.org/03haqmz43","country_code":"CI","type":"education","lineage":["https://openalex.org/I48615539"]}],"countries":["CI"],"is_corresponding":false,"raw_author_name":"Diarra Mamadou","raw_affiliation_strings":["Laboratoire de M\u00e9canique et Information (LaMI), Universit\u00e9 Felix Houphou\u00ebt-Boigny, Abidjan 22 BP 801, C\u00f4te d\u2019Ivoire"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire de M\u00e9canique et Information (LaMI), Universit\u00e9 Felix Houphou\u00ebt-Boigny, Abidjan 22 BP 801, C\u00f4te d\u2019Ivoire","institution_ids":["https://openalex.org/I48615539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011631965","display_name":"Pierre Gouton","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093987","display_name":"Imaging, Brain, and Neuropsychiatry","ror":"https://ror.org/01eem7c55","country_code":"FR","type":"facility","lineage":["https://openalex.org/I110017253","https://openalex.org/I154526488","https://openalex.org/I4210093987"]},{"id":"https://openalex.org/I4210118524","display_name":"Universit\u00e9 Bourgogne Franche-Comt\u00e9","ror":"https://ror.org/02dn7x778","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210118524"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre Gouton","raw_affiliation_strings":["Laboratoire Imagerie et Vision Artificielle (ImVia), Universit\u00e9 Bourgogne Franche-Comt\u00e9, 21000 Dijon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire Imagerie et Vision Artificielle (ImVia), Universit\u00e9 Bourgogne Franche-Comt\u00e9, 21000 Dijon, France","institution_ids":["https://openalex.org/I4210093987","https://openalex.org/I4210118524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054796556","display_name":"Kablan J\u00e9r\u00f4me Adou","orcid":null},"institutions":[{"id":"https://openalex.org/I48615539","display_name":"Universit\u00e9 F\u00e9lix Houphou\u00ebt-Boigny","ror":"https://ror.org/03haqmz43","country_code":"CI","type":"education","lineage":["https://openalex.org/I48615539"]}],"countries":["CI"],"is_corresponding":false,"raw_author_name":"Kablan J\u00e9r\u00f4me Adou","raw_affiliation_strings":["Laboratoire de M\u00e9canique et Information (LaMI), Universit\u00e9 Felix Houphou\u00ebt-Boigny, Abidjan 22 BP 801, C\u00f4te d\u2019Ivoire"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire de M\u00e9canique et Information (LaMI), Universit\u00e9 Felix Houphou\u00ebt-Boigny, Abidjan 22 BP 801, C\u00f4te d\u2019Ivoire","institution_ids":["https://openalex.org/I48615539"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043206841"],"corresponding_institution_ids":["https://openalex.org/I17024267","https://openalex.org/I4210093987","https://openalex.org/I4210118524","https://openalex.org/I4388446411","https://openalex.org/I48615539"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":10.535,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.97623515,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"8","issue":"6","first_page":"99","last_page":"99"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13069","display_name":"Cocoa and Sweet Potato Agronomy","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1108","display_name":"Horticulture"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T13069","display_name":"Cocoa and Sweet Potato Agronomy","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1108","display_name":"Horticulture"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5651557445526123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5525413751602173},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5363065004348755},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5099295377731323},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5004942417144775},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4818631112575531},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47620901465415955},{"id":"https://openalex.org/keywords/point-of-delivery","display_name":"Point of delivery","score":0.47031915187835693},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4270585775375366},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.42004773020744324},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.33168119192123413},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3280259966850281},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19344809651374817},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10672038793563843},{"id":"https://openalex.org/keywords/horticulture","display_name":"Horticulture","score":0.07567298412322998}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5651557445526123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5525413751602173},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5363065004348755},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5099295377731323},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5004942417144775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4818631112575531},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47620901465415955},{"id":"https://openalex.org/C137776501","wikidata":"https://www.wikidata.org/wiki/Q7208270","display_name":"Point of delivery","level":2,"score":0.47031915187835693},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4270585775375366},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.42004773020744324},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33168119192123413},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3280259966850281},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19344809651374817},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10672038793563843},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.07567298412322998},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/data8060099","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data8060099","pdf_url":"https://www.mdpi.com/2306-5729/8/6/99/pdf?version=1685498211","source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-04216030v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04216030","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data, 2023, 8 (6), pp.99. ⟨10.3390/data8060099⟩","raw_type":"Journal articles"},{"id":"pmh:oai:RePEc:gam:jdataj:v:8:y:2023:i:6:p:99-:d:1159829","is_oa":false,"landing_page_url":"https://www.mdpi.com/2306-5729/8/6/99/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:d09f52ab5c044f71ac750d9c61e53aea","is_oa":true,"landing_page_url":"https://doaj.org/article/d09f52ab5c044f71ac750d9c61e53aea","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data, Vol 8, Iss 6, p 99 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2306-5729/8/6/99/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/data8060099","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data; Volume 8; Issue 6; Pages: 99","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/data8060099","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data8060099","pdf_url":"https://www.mdpi.com/2306-5729/8/6/99/pdf?version=1685498211","source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4378901510.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W426676927","https://openalex.org/W1655795019","https://openalex.org/W1747553234","https://openalex.org/W1972295174","https://openalex.org/W1976468890","https://openalex.org/W2003073543","https://openalex.org/W2031246720","https://openalex.org/W2043200866","https://openalex.org/W2045518152","https://openalex.org/W2059547365","https://openalex.org/W2078720595","https://openalex.org/W2135870385","https://openalex.org/W2145323086","https://openalex.org/W2159127913","https://openalex.org/W2161098282","https://openalex.org/W2267761217","https://openalex.org/W2278007922","https://openalex.org/W2516363142","https://openalex.org/W2650011260","https://openalex.org/W2797514659","https://openalex.org/W2805908200","https://openalex.org/W2809598685","https://openalex.org/W2895866940","https://openalex.org/W2896810194","https://openalex.org/W2901127025","https://openalex.org/W2912152910","https://openalex.org/W2913594625","https://openalex.org/W2928681464","https://openalex.org/W2950144355","https://openalex.org/W2963348597","https://openalex.org/W3006882376","https://openalex.org/W3010345596","https://openalex.org/W3027350963","https://openalex.org/W3034198876","https://openalex.org/W3042027535","https://openalex.org/W3047149318","https://openalex.org/W3107058614","https://openalex.org/W3133558315","https://openalex.org/W3137397516","https://openalex.org/W3153645085","https://openalex.org/W4293721825","https://openalex.org/W4309993449","https://openalex.org/W4323773427","https://openalex.org/W4368354125","https://openalex.org/W6726382999","https://openalex.org/W6777899529","https://openalex.org/W6846681001"],"related_works":["https://openalex.org/W3111740253","https://openalex.org/W2902282441","https://openalex.org/W2546942002","https://openalex.org/W2970216048","https://openalex.org/W1642991110","https://openalex.org/W2382607599","https://openalex.org/W3027599074","https://openalex.org/W2157579282","https://openalex.org/W2410198229","https://openalex.org/W3208561927"],"abstract_inverted_index":{"C\u00f4te":[0],"d\u2019Ivoire,":[1],"the":[2,8,34,44,67,72,83,115,129,150,167,172,189,202,218,222],"world\u2019s":[3],"largest":[4],"cocoa":[5,20,37,70,96,160,207],"producer,":[6],"faces":[7],"challenge":[9],"of":[10,36,46,69,74,87,95,131,178,206,213,226],"quality":[11,19],"production.":[12],"Immature":[13],"or":[14],"overripe":[15],"pods":[16,38],"cannot":[17],"produce":[18],"beans,":[21],"resulting":[22],"in":[23,39,111],"losses":[24],"and":[25,60,85,99,114,135,155,188,204],"an":[26],"unprofitable":[27],"harvest.":[28],"To":[29],"help":[30],"farmer":[31],"cooperatives":[32],"determine":[33],"maturity":[35,68,209],"time,":[40],"our":[41,140,214],"study":[42],"evaluates":[43],"use":[45,73],"automation":[47,75,194],"tools":[48,76,195],"based":[49,77,105,117,196],"on":[50,78,106,118,139,197],"similarity":[51,79,145,198,227],"measures.":[52],"Although":[53],"standard":[54],"techniques,":[55],"such":[56,148],"as":[57,149,184],"visual":[58],"inspection":[59],"weighing,":[61],"are":[62],"commonly":[63],"used":[64,100,143,182],"to":[65,158],"identify":[66],"pods,":[71],"measures":[80,199],"can":[81,200],"improve":[82,201],"efficiency":[84,203],"accuracy":[86,205],"this":[88,229],"process.":[89],"We":[90,127,142],"set":[91],"up":[92],"a":[93,122,176,185],"database":[94],"pod":[97,161,208],"images":[98],"two":[101],"feature":[102,136,186],"extractors:":[103],"one":[104],"convolutional":[107],"neural":[108],"networks":[109],"(CNN),":[110],"particular,":[112],"MobileNet,":[113],"other":[116],"texture":[119],"analysis":[120],"using":[121],"gray-level":[123],"co-occurrence":[124],"matrix":[125],"(GLCM).":[126],"evaluated":[128],"impact":[130],"different":[132],"color":[133,191],"spaces":[134],"extraction":[137],"methods":[138],"database.":[141],"mathematical":[144],"measurement":[146,170],"tools,":[147],"Euclidean":[151],"distance,":[152,154,157],"correlation":[153],"chi-square":[156,168,219],"classify":[159],"images.":[162],"Our":[163],"experiments":[164,215],"showed":[165],"that":[166,217],"distance":[169,220],"offered":[171],"best":[173],"accuracy,":[174],"with":[175],"score":[177],"99.61%,":[179],"when":[180],"we":[181],"GLCM":[183],"extractor":[187],"Lab":[190],"space.":[192],"Using":[193],"determination.":[210],"The":[211],"results":[212],"prove":[216],"is":[221],"most":[223],"appropriate":[224],"measure":[225],"for":[228],"task.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-01-20T17:24:06.736184","created_date":"2025-10-10T00:00:00"}