{"id":"https://openalex.org/W2105839704","doi":"https://doi.org/10.1109/tbme.2010.2097599","title":"Retinal Image Analysis Using Curvelet Transform and Multistructure Elements Morphology by Reconstruction","display_name":"Retinal Image Analysis Using Curvelet Transform and Multistructure Elements Morphology by Reconstruction","publication_year":2010,"publication_date":"2010-12-14","ids":{"openalex":"https://openalex.org/W2105839704","doi":"https://doi.org/10.1109/tbme.2010.2097599","mag":"2105839704","pmid":"https://pubmed.ncbi.nlm.nih.gov/21147592"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2010.2097599","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2010.2097599","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5111891918","display_name":"Mohammad Saleh Miri","orcid":null},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M S Miri","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA 52240, USA. mohammadsalehmiri@uiowa.edu","Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA 52240, USA. mohammadsalehmiri@uiowa.edu","institution_ids":["https://openalex.org/I126307644"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USA#TAB#","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019045054","display_name":"Ali Mahloojifar","orcid":"https://orcid.org/0000-0002-9219-2198"},"institutions":[{"id":"https://openalex.org/I1516879","display_name":"Tarbiat Modares University","ror":"https://ror.org/03mwgfy56","country_code":"IR","type":"education","lineage":["https://openalex.org/I1516879"]},{"id":"https://openalex.org/I4210116604","display_name":"Ilam University","ror":"https://ror.org/01r277z15","country_code":"IR","type":"education","lineage":["https://openalex.org/I4210116604"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"A Mahloojifar","raw_affiliation_strings":["Department of Biomedical Engineering, Tarbiat Moalem University, Tehran, Iran","Dept. of Biomed. Eng., Tarbiat Modares Univ., Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Tarbiat Moalem University, Tehran, Iran","institution_ids":["https://openalex.org/I4210116604"]},{"raw_affiliation_string":"Dept. of Biomed. Eng., Tarbiat Modares Univ., Tehran, Iran","institution_ids":["https://openalex.org/I1516879"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.4922,"has_fulltext":false,"cited_by_count":312,"citation_normalized_percentile":{"value":0.97477348,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"58","issue":"5","first_page":"1183","last_page":"1192"},"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9940000176429749,"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/T10250","display_name":"Glaucoma and retinal disorders","score":0.9890999794006348,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7192734479904175},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6813883781433105},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6734527945518494},{"id":"https://openalex.org/keywords/curvelet","display_name":"Curvelet","score":0.6292667984962463},{"id":"https://openalex.org/keywords/mathematical-morphology","display_name":"Mathematical morphology","score":0.6057992577552795},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6026888489723206},{"id":"https://openalex.org/keywords/retinal","display_name":"Retinal","score":0.5594221353530884},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5225774049758911},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.5129184722900391},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4860299229621887},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46641290187835693},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4544239342212677},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.43945980072021484},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37067532539367676},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.347908079624176},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.3236086368560791},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.10548460483551025},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09756016731262207}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7192734479904175},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6813883781433105},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6734527945518494},{"id":"https://openalex.org/C131720326","wikidata":"https://www.wikidata.org/wiki/Q5196075","display_name":"Curvelet","level":4,"score":0.6292667984962463},{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.6057992577552795},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6026888489723206},{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"score":0.5594221353530884},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5225774049758911},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.5129184722900391},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4860299229621887},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46641290187835693},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4544239342212677},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43945980072021484},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37067532539367676},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.347908079624176},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3236086368560791},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.10548460483551025},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09756016731262207},{"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003941","descriptor_name":"Diagnostic Techniques, Ophthalmological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003941","descriptor_name":"Diagnostic Techniques, Ophthalmological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003941","descriptor_name":"Diagnostic Techniques, Ophthalmological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tbme.2010.2097599","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2010.2097599","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:21147592","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21147592","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on bio-medical engineering","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320291","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1671305267","https://openalex.org/W2008160399","https://openalex.org/W2018593404","https://openalex.org/W2022824468","https://openalex.org/W2060273141","https://openalex.org/W2093958639","https://openalex.org/W2108882172","https://openalex.org/W2111755266","https://openalex.org/W2115528090","https://openalex.org/W2119399382","https://openalex.org/W2122564545","https://openalex.org/W2127833055","https://openalex.org/W2128731668","https://openalex.org/W2133059825","https://openalex.org/W2133251749","https://openalex.org/W2139038335","https://openalex.org/W2147123922","https://openalex.org/W2150769593","https://openalex.org/W2154890249","https://openalex.org/W2170092083","https://openalex.org/W2378807447","https://openalex.org/W6655096729"],"related_works":["https://openalex.org/W2050699221","https://openalex.org/W2155191322","https://openalex.org/W2348086063","https://openalex.org/W2073518521","https://openalex.org/W2103384355","https://openalex.org/W2370741721","https://openalex.org/W2148060698","https://openalex.org/W2142724665","https://openalex.org/W2008160399","https://openalex.org/W2539066280"],"abstract_inverted_index":{"Retinal":[0],"images":[1,51],"can":[2,35,245],"be":[3,36,246],"used":[4],"in":[5,23,28,81,117,132,232],"several":[6],"applications,":[7],"such":[8,31],"as":[9,13,15,32],"ocular":[10],"fundus":[11],"operations":[12],"well":[14],"human":[16],"recognition.":[17],"Also,":[18],"they":[19,174],"play":[20],"important":[21],"roles":[22],"detection":[24,56],"of":[25,40,43,49,77,86,107,168,213],"some":[26],"diseases":[27],"early":[29],"stages,":[30],"diabetes,":[33],"which":[34],"performed":[37],"by":[38,143,172,249],"comparison":[39],"the":[41,53,67,74,78,83,92,98,101,108,129,136,146,151,158,166,169,191,207,215,242,254],"states":[42],"retinal":[44,50,68,93,137,255],"blood":[45,54,69,237,243],"vessels.":[46,196],"Intrinsic":[47],"characteristics":[48],"make":[52],"vessel":[55,152,238],"process":[57],"difficult.":[58],"Here,":[59],"we":[60,204],"proposed":[61],"a":[62,221],"new":[63],"algorithm":[64],"to":[65,73,90,128,134,150,156,164,195,199,227],"detect":[66],"vessels":[70,160,244],"effectively.":[71],"Due":[72],"high":[75],"ability":[76],"curvelet":[79,87],"transform":[80,88],"representing":[82],"edges,":[84],"modification":[85],"coefficients":[89],"enhance":[91],"image":[94,99,131,138],"edges":[95],"better":[96],"prepares":[97],"for":[100,236],"segmentation":[102],"part.":[103],"The":[104],"directionality":[105],"feature":[106],"multistructure":[109,124,178],"elements":[110,125],"method":[111,183,252],"makes":[112],"it":[113],"an":[114],"effective":[115],"tool":[116],"edge":[118],"detection.":[119],"Hence,":[120],"morphology":[121],"operators":[122,142,171],"using":[123,177],"are":[126],"applied":[127,176,206],"enhanced":[130],"order":[133,163,198],"find":[135],"ridges.":[139],"Afterward,":[140],"morphological":[141,170],"reconstruction":[144],"eliminate":[145],"ridges":[147,193],"not":[148],"belonging":[149,194],"tree":[153],"while":[154],"trying":[155],"preserve":[157],"thin":[159],"unchanged.":[161],"In":[162,197],"increase":[165],"efficiency":[167],"reconstruction,":[173],"were":[175],"elements.":[179],"A":[180],"simple":[181],"thresholding":[182],"along":[184],"with":[185],"connected":[186],"components":[187],"analysis":[188],"(CCA)":[189],"indicates":[190],"remained":[192],"utilize":[200],"CCA":[201,208],"more":[202,228],"efficiently,":[203],"locally":[205],"and":[209,225],"length":[210],"filtering":[211],"instead":[212],"considering":[214],"whole":[216],"image.":[217],"Experimental":[218],"results":[219],"on":[220,253],"known":[222],"database,":[223],"DRIVE,":[224],"achieving":[226],"than":[229],"94%":[230],"accuracy":[231],"about":[233],"50":[234],"s":[235],"detection,":[239],"proved":[240],"that":[241],"effectively":[247],"detected":[248],"applying":[250],"our":[251],"images.":[256]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":26},{"year":2019,"cited_by_count":31},{"year":2018,"cited_by_count":31},{"year":2017,"cited_by_count":31},{"year":2016,"cited_by_count":28},{"year":2015,"cited_by_count":30},{"year":2014,"cited_by_count":32},{"year":2013,"cited_by_count":17},{"year":2012,"cited_by_count":11}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}