{"id":"https://openalex.org/W2765645707","doi":"https://doi.org/10.1109/tsp.2017.8076073","title":"Accurate localization of the optic disc based on LBP descriptors","display_name":"Accurate localization of the optic disc based on LBP descriptors","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2765645707","doi":"https://doi.org/10.1109/tsp.2017.8076073","mag":"2765645707"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2017.8076073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2017.8076073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 40th International Conference on Telecommunications and Signal Processing (TSP)","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/A5064640423","display_name":"Stefan Cirneanu","orcid":null},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Stefan Cirneanu","raw_affiliation_strings":["Faculty of Automatic Control and Computers, Politehnica University of Bucharest, Bucharest, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Automatic Control and Computers, Politehnica University of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067604275","display_name":"Loretta Ichim","orcid":"https://orcid.org/0000-0002-7465-3958"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Loretta Ichim","raw_affiliation_strings":["Faculty of Automatic Control and Computers, Politehnica University of Bucharest, Bucharest, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Automatic Control and Computers, Politehnica University of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044811337","display_name":"Dan Popescu","orcid":"https://orcid.org/0000-0002-1883-0091"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Dan Popescu","raw_affiliation_strings":["Faculty of Automatic Control and Computers, Politehnica University of Bucharest, Bucharest, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Automatic Control and Computers, Politehnica University of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I61641377"],"apc_list":null,"apc_paid":null,"fwci":0.8458,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75484926,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"56","issue":null,"first_page":"678","last_page":"681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"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"}},{"id":"https://openalex.org/T10250","display_name":"Glaucoma and retinal disorders","score":0.9569000005722046,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9560999870300293,"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/histogram","display_name":"Histogram","score":0.8196626901626587},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7725101709365845},{"id":"https://openalex.org/keywords/optic-disc","display_name":"Optic disc","score":0.6543110609054565},{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.6074680685997009},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6043713092803955},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5931688547134399},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5876602530479431},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5740548372268677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.552310049533844},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5076330900192261},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.4545799791812897},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42104148864746094},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4169137179851532},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.4101915955543518},{"id":"https://openalex.org/keywords/retinal","display_name":"Retinal","score":0.3733881711959839},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3308752179145813},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2573033571243286},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09159830212593079},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0766887366771698},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.0589066743850708}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.8196626901626587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7725101709365845},{"id":"https://openalex.org/C2779735895","wikidata":"https://www.wikidata.org/wiki/Q16873995","display_name":"Optic disc","level":3,"score":0.6543110609054565},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.6074680685997009},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6043713092803955},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5931688547134399},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5876602530479431},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5740548372268677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.552310049533844},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5076330900192261},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.4545799791812897},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42104148864746094},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4169137179851532},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.4101915955543518},{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"score":0.3733881711959839},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3308752179145813},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2573033571243286},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09159830212593079},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0766887366771698},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0589066743850708},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2017.8076073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2017.8076073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 40th International Conference on Telecommunications and Signal Processing (TSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W582687489","https://openalex.org/W1969496006","https://openalex.org/W1999354443","https://openalex.org/W2028652181","https://openalex.org/W2058003373","https://openalex.org/W2155561710","https://openalex.org/W2163352848","https://openalex.org/W2175684014","https://openalex.org/W2394583617","https://openalex.org/W6682730930"],"related_works":["https://openalex.org/W2071599417","https://openalex.org/W2048716406","https://openalex.org/W1870444468","https://openalex.org/W2979608518","https://openalex.org/W1964725559","https://openalex.org/W3109748140","https://openalex.org/W2045053268","https://openalex.org/W2433492094","https://openalex.org/W2767833206","https://openalex.org/W1556327589"],"abstract_inverted_index":{"The":[0,44,66],"paper":[1],"presents":[2],"a":[3,26,53,62],"new":[4],"methodology":[5],"for":[6,70],"the":[7,13,36,58,80,85,104],"detection":[8,73],"and":[9,84,99],"accurate":[10],"localization":[11],"of":[12,38,91,112],"optic":[14,71],"disc":[15,72],"in":[16,110],"retinal":[17,59],"images.":[18],"Different":[19],"color":[20],"channels":[21],"are":[22,68],"investigated":[23],"and,":[24],"as":[25],"result,":[27],"LBP":[28],"histogram":[29,82],"on":[30,41,49,79],"Hue":[31],"channel":[32],"is":[33,47],"combined":[34],"with":[35,101],"information":[37],"intensity":[39,87],"level":[40],"Green":[42],"channel.":[43],"proposed":[45,105],"algorithm":[46,106],"applied":[48],"overlapped":[50],"patches,":[51],"having":[52],"corresponding":[54],"dimension,":[55],"extracted":[56],"from":[57,94],"images":[60,93],"using":[61],"gliding":[63],"box":[64],"algorithm.":[65],"patches":[67],"discriminated":[69],"by":[74],"computing":[75],"similarity":[76],"features":[77],"based":[78],"resulted":[81],"vectors":[83],"mean":[86],"feature.":[88],"A":[89],"number":[90],"100":[92],"MESSIDOR":[95],"database":[96],"were":[97],"tested":[98],"comparing":[100],"other":[102],"works,":[103],"gave":[107],"good":[108],"results":[109],"terms":[111],"accuracy.":[113]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}