{"id":"https://openalex.org/W2007125366","doi":"https://doi.org/10.1109/siu.2014.6830516","title":"Shape features based conic arcs for leaf recognition","display_name":"Shape features based conic arcs for leaf recognition","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2007125366","doi":"https://doi.org/10.1109/siu.2014.6830516","mag":"2007125366"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2014.6830516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2014.6830516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5032097894","display_name":"Tolga Avci","orcid":null},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Tolga Avci","raw_affiliation_strings":["M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Elektrik-Elektronik, Eski\u015fehir, Osmangazi\u00dcni","Elektrik-Elektronik, M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcni"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Elektrik-Elektronik, Eski\u015fehir, Osmangazi\u00dcni","institution_ids":["https://openalex.org/I51209816"]},{"raw_affiliation_string":"Elektrik-Elektronik, M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcni","institution_ids":["https://openalex.org/I51209816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040335986","display_name":"Gursel Kokdemir","orcid":null},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Gursel Kokdemir","raw_affiliation_strings":["Elektrik-Elektronik, M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcni"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Elektrik-Elektronik, M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcni","institution_ids":["https://openalex.org/I51209816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048012509","display_name":"Z\u00fchal Kurt","orcid":"https://orcid.org/0000-0003-1740-6982"},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Zuhal Kurt","raw_affiliation_strings":["Matematik - Bilgisayar B\u00f6l\u00fcm\u00fc, Eski\u015fehir, Osmangazi \u00dcni","Matematik - Bilgisayar, B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcni"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Matematik - Bilgisayar B\u00f6l\u00fcm\u00fc, Eski\u015fehir, Osmangazi \u00dcni","institution_ids":["https://openalex.org/I51209816"]},{"raw_affiliation_string":"Matematik - Bilgisayar, B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcni","institution_ids":["https://openalex.org/I51209816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022999248","display_name":"Kemal \u00d6zkan","orcid":"https://orcid.org/0000-0003-2252-2128"},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Kemal Ozkan","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi, B\u00f6l\u00fcm\u00fc Eski\u015fehir Osmangazi \u00dcni"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi, B\u00f6l\u00fcm\u00fc Eski\u015fehir Osmangazi \u00dcni","institution_ids":["https://openalex.org/I51209816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I51209816"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07233484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1463","last_page":"1466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"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/T10616","display_name":"Smart Agriculture and AI","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9915000200271606,"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/conic-section","display_name":"Conic section","score":0.8984018564224243},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6834233999252319},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6514129042625427},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5995455980300903},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5238754153251648},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5099936723709106},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.47887343168258667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47760769724845886},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45627135038375854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42020711302757263},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.3464365601539612}],"concepts":[{"id":"https://openalex.org/C108598597","wikidata":"https://www.wikidata.org/wiki/Q124255","display_name":"Conic section","level":2,"score":0.8984018564224243},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6834233999252319},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6514129042625427},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5995455980300903},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5238754153251648},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5099936723709106},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.47887343168258667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47760769724845886},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45627135038375854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42020711302757263},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.3464365601539612},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":1,"locations":[{"id":"doi:10.1109/siu.2014.6830516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2014.6830516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W645748567","https://openalex.org/W1570052007","https://openalex.org/W1585374521","https://openalex.org/W1866660454","https://openalex.org/W1968896562","https://openalex.org/W1987395188","https://openalex.org/W2009039223","https://openalex.org/W2020187819","https://openalex.org/W2046479379","https://openalex.org/W2059920718","https://openalex.org/W2068043712","https://openalex.org/W2083398076","https://openalex.org/W2086425172","https://openalex.org/W2094134034","https://openalex.org/W2096038174","https://openalex.org/W2116044718","https://openalex.org/W2116076814","https://openalex.org/W2132007108","https://openalex.org/W2155343350","https://openalex.org/W2161649370","https://openalex.org/W2172263315","https://openalex.org/W2177274842","https://openalex.org/W6635113378","https://openalex.org/W6639131940"],"related_works":["https://openalex.org/W2795378890","https://openalex.org/W4300566153","https://openalex.org/W2804689728","https://openalex.org/W2114275278","https://openalex.org/W1489511283","https://openalex.org/W2974914859","https://openalex.org/W2026565050","https://openalex.org/W2110244802","https://openalex.org/W2163728705","https://openalex.org/W949345935"],"abstract_inverted_index":{"The":[0,57],"most":[1],"widely":[2],"used":[3],"in":[4,19,112],"the":[5,20,52,55,70,78,87,95,104,107,113,120,127,130,134],"field":[6],"of":[7,43,54,60,106,129],"visual":[8],"object":[9,96,111,121],"recognition":[10],"descriptive":[11,92],"features":[12],"are":[13,49,65,75,84],"shape":[14,25],"based":[15,27],"features.":[16],"Identify":[17],"objects":[18,39],"image,":[21],"contour":[22,128],"and":[23,80,133],"region":[24],"descriptors":[26],"on":[28,69,94],"two":[29],"main":[30],"topics":[31],"to":[32,37,51,86,103,126],"be":[33],"examined.":[34],"In":[35],"order":[36],"describe":[38],"with":[40,124],"lesser":[41],"number":[42],"descriptors,":[44],"linear":[45],"or":[46],"cubic":[47],"curves":[48,64],"fitted":[50,85,125],"contours":[53],"objects.":[56],"end":[58,81],"points":[59,93],"these":[61,73],"finite":[62],"length":[63],"usually":[66],"meaningful":[67],"spots":[68],"contours,":[71],"where":[72],"fittings":[74],"needed":[76],"for":[77],"start":[79],"points.":[82],"Curves":[83],"sub-contours":[88],"between":[89],"successive":[90],"such":[91],"contour.":[97],"After":[98],"fitting":[99],"conic":[100,131],"arcs":[101,132],"according":[102],"type":[105],"cone":[108],"defining":[109],"an":[110],"image":[114],"feature":[115],"vector":[116],"is":[117,122],"obtained.":[118],"Thus":[119],"depicted":[123],"line":[135],"pieces.":[136]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}