{"id":"https://openalex.org/W2048973405","doi":"https://doi.org/10.1145/2390832.2390839","title":"Texture recognition for frog identification","display_name":"Texture recognition for frog identification","publication_year":2012,"publication_date":"2012-11-02","ids":{"openalex":"https://openalex.org/W2048973405","doi":"https://doi.org/10.1145/2390832.2390839","mag":"2048973405"},"language":"en","primary_location":{"id":"doi:10.1145/2390832.2390839","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2390832.2390839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM international workshop on Multimedia analysis for ecological data","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11729/729","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006140905","display_name":"Flavio Cannav\u00f2","orcid":"https://orcid.org/0000-0001-7550-8579"},"institutions":[{"id":"https://openalex.org/I29078338","display_name":"Istituto Nazionale di Geofisica e Vulcanologia","ror":"https://ror.org/00qps9a02","country_code":"IT","type":"facility","lineage":["https://openalex.org/I29078338"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Flavio Cannavo","raw_affiliation_strings":["Istituto Nazionale di Geofisica e Vulcanologia, Catania, Italy","[Istituto Nazionale di Geofisica e Vulcanologia, Catania, Italy]"],"affiliations":[{"raw_affiliation_string":"Istituto Nazionale di Geofisica e Vulcanologia, Catania, Italy","institution_ids":["https://openalex.org/I29078338"]},{"raw_affiliation_string":"[Istituto Nazionale di Geofisica e Vulcanologia, Catania, Italy]","institution_ids":["https://openalex.org/I29078338"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081929862","display_name":"G. Nunnari","orcid":"https://orcid.org/0000-0002-7117-3174"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Nunnari","raw_affiliation_strings":["Universit\u00e0 di Catania, Catania, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 di Catania, Catania, Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063620004","display_name":"\u0130zzet Kale","orcid":"https://orcid.org/0000-0001-5562-6885"},"institutions":[{"id":"https://openalex.org/I94951947","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82","country_code":"GB","type":"education","lineage":["https://openalex.org/I94951947"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Izzet Kale","raw_affiliation_strings":["University of Westminster, London, United Kingdom","University of Westminster, london, United Kingdom#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Westminster, London, United Kingdom","institution_ids":["https://openalex.org/I94951947"]},{"raw_affiliation_string":"University of Westminster, london, United Kingdom#TAB#","institution_ids":["https://openalex.org/I94951947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045110953","display_name":"F. Boray Tek","orcid":"https://orcid.org/0000-0002-8649-6013"},"institutions":[{"id":"https://openalex.org/I167234411","display_name":"I\u015f\u0131k University","ror":"https://ror.org/02j8k6t75","country_code":"TR","type":"education","lineage":["https://openalex.org/I167234411"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"F. Boray Tek","raw_affiliation_strings":["Isik University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Isik University, Istanbul, Turkey","institution_ids":["https://openalex.org/I167234411"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006140905"],"corresponding_institution_ids":["https://openalex.org/I29078338"],"apc_list":null,"apc_paid":null,"fwci":0.5491,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68258376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9854999780654907,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9854999780654907,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9663000106811523,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7375293970108032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6926616430282593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5517487525939941},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5133184790611267},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5068605542182922},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4952613413333893},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4551040232181549},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.42983880639076233},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3871396780014038},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.33753806352615356},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3209892511367798},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11466503143310547}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7375293970108032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6926616430282593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5517487525939941},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5133184790611267},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5068605542182922},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4952613413333893},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4551040232181549},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.42983880639076233},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3871396780014038},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.33753806352615356},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3209892511367798},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11466503143310547},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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":3,"locations":[{"id":"doi:10.1145/2390832.2390839","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2390832.2390839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM international workshop on Multimedia analysis for ecological data","raw_type":"proceedings-article"},{"id":"pmh:oai:acikerisim.isikun.edu.tr:11729/729","is_oa":true,"landing_page_url":"https://hdl.handle.net/11729/729","pdf_url":null,"source":{"id":"https://openalex.org/S4306401174","display_name":"Akademik A\u00e7\u0131k Eri\u015fim (I\u015f\u0131k \u00dcniversitesi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I167234411","host_organization_name":"I\u015f\u0131k University","host_organization_lineage":["https://openalex.org/I167234411"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Object"},{"id":"pmh:oai:localhost:11729/729","is_oa":true,"landing_page_url":"http://hdl.handle.net/11729/729","pdf_url":null,"source":{"id":"https://openalex.org/S4306401174","display_name":"Akademik A\u00e7\u0131k Eri\u015fim (I\u015f\u0131k \u00dcniversitesi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I167234411","host_organization_name":"I\u015f\u0131k University","host_organization_lineage":["https://openalex.org/I167234411"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MAED 2012 - Proceedings of the 2012 ACM Workshop on Multimedia Analysis for Ecological Data, Co-located with ACM Multimedia 2012","raw_type":"conferenceObject"}],"best_oa_location":{"id":"pmh:oai:acikerisim.isikun.edu.tr:11729/729","is_oa":true,"landing_page_url":"https://hdl.handle.net/11729/729","pdf_url":null,"source":{"id":"https://openalex.org/S4306401174","display_name":"Akademik A\u00e7\u0131k Eri\u015fim (I\u015f\u0131k \u00dcniversitesi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I167234411","host_organization_name":"I\u015f\u0131k University","host_organization_lineage":["https://openalex.org/I167234411"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Object"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1561442812","https://openalex.org/W1770825568","https://openalex.org/W1951775667","https://openalex.org/W1988445395","https://openalex.org/W2008338741","https://openalex.org/W2121221900","https://openalex.org/W2124925264","https://openalex.org/W2125148312","https://openalex.org/W2133059825","https://openalex.org/W2159498975","https://openalex.org/W2171975443","https://openalex.org/W4250689175","https://openalex.org/W4292003313"],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W2256933480","https://openalex.org/W2027854990","https://openalex.org/W2370081953","https://openalex.org/W2364428742","https://openalex.org/W2378290951"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,49],"visual":[4],"processing":[5],"technique":[6],"for":[7,52,125],"automatic":[8],"frog":[9,19,28,43,127],"(Xenopus":[10],"Laevis":[11],"sp.)":[12],"localization":[13],"and":[14,24,103,116,121],"identification.":[15,53],"The":[16,42,74,107],"problem":[17],"of":[18,61],"identification":[20,128],"is":[21,35,76,119],"to":[22,30,70,87],"process":[23],"classify":[25],"an":[26,39],"unknown":[27],"image":[29,40],"determine":[31],"the":[32,55,84,88,93,97,112,126],"identity":[33],"which":[34,91],"recorded":[36],"previously":[37],"on":[38,78],"database.":[41],"skin":[44,130],"pattern":[45],"(i.e.":[46,63],"texture)":[47],"provides":[48],"unique":[50],"feature":[51,86,90,115],"Hence,":[54,96],"study":[56,98],"investigates":[57,99],"three":[58],"different":[59,100],"kind":[60],"features":[62],"Gabor":[64],"filters,":[65],"granulometry,":[66],"threshold":[67],"set":[68],"compactness)":[69],"extract":[71],"texture":[72,131],"information.":[73],"classifier":[75],"built":[77],"nearest":[79],"neighbor":[80],"principle;":[81],"it":[82],"assigns":[83],"query":[85],"database":[89],"has":[92],"minimum":[94],"distance.":[95],"distance":[101,117],"measures":[102],"compares":[104],"their":[105],"performance.":[106],"detailed":[108],"results":[109],"show":[110],"that":[111],"most":[113],"successful":[114],"measure":[118],"granulometry":[120],"weighted":[122],"L1":[123],"norm":[124],"using":[129],"features.":[132]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}