Optic cup and disc color channel multi-thresholding segmentation
Cup to disc ratio (CDR) is very important indicators in glaucoma detection. This paper proposes a method for glaucoma detection using digital fundus images with color multi-thresholding segmentation. The objective of this paper is to segment the optic cup and optic disc using color multi-thresholdin...
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 534 |
---|---|
container_issue | |
container_start_page | 530 |
container_title | |
container_volume | |
creator | Noor, Nm Khalid, Nea Ariff, Nm |
description | Cup to disc ratio (CDR) is very important indicators in glaucoma detection. This paper proposes a method for glaucoma detection using digital fundus images with color multi-thresholding segmentation. The objective of this paper is to segment the optic cup and optic disc using color multi-thresholding segmentation and extracted feature such as cup to disc (c/d) ratio. Three ophthalmologists analysis was used as a reference to the automated segmented fundus image for a cup-to-disc ratio (CDR) measurement to discriminate glaucomatous from normal eyes. The performance of the optic cup and optic disc using color multi-thresholding segmentation has been evaluated and compared to each other. The results presented in this paper indicate that the features are clinically significant in the detection of glaucoma. |
doi_str_mv | 10.1109/ICCSCE.2013.6720022 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6720022</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6720022</ieee_id><sourcerecordid>6720022</sourcerecordid><originalsourceid>FETCH-LOGICAL-c258t-58af3593b75f2ea92b33d31b1d9e25c49aeff075cf37f1cb774a977e197e53f23</originalsourceid><addsrcrecordid>eNotj7FOwzAUAM2ABJR-QRf_QIKfHffFGygqUKlSB2CuHOe5MUqcKHYH_h4kOp1uOekY24AoAYR52jfNR7MrpQBVblEKIeUNe4AKjQEttvUdW6f0LYQARK2r-p49H-ccHHeXmdvY8S6kP5mGaeGutzHSwMfLkEOR-4VSPw1diGee6DxSzDaHKT6yW2-HROsrV-zrdffZvBeH49u-eTkUTuo6F7q2XmmjWtRekjWyVapT0EJnSGpXGUveC9TOK_TgWsTKGkQCg6SVl2rFNv_dQESneQmjXX5O10n1C5qbSLI</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Optic cup and disc color channel multi-thresholding segmentation</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Noor, Nm ; Khalid, Nea ; Ariff, Nm</creator><creatorcontrib>Noor, Nm ; Khalid, Nea ; Ariff, Nm</creatorcontrib><description>Cup to disc ratio (CDR) is very important indicators in glaucoma detection. This paper proposes a method for glaucoma detection using digital fundus images with color multi-thresholding segmentation. The objective of this paper is to segment the optic cup and optic disc using color multi-thresholding segmentation and extracted feature such as cup to disc (c/d) ratio. Three ophthalmologists analysis was used as a reference to the automated segmented fundus image for a cup-to-disc ratio (CDR) measurement to discriminate glaucomatous from normal eyes. The performance of the optic cup and optic disc using color multi-thresholding segmentation has been evaluated and compared to each other. The results presented in this paper indicate that the features are clinically significant in the detection of glaucoma.</description><identifier>EISBN: 1479915068</identifier><identifier>EISBN: 9781479915088</identifier><identifier>EISBN: 1479915084</identifier><identifier>EISBN: 9781479915064</identifier><identifier>DOI: 10.1109/ICCSCE.2013.6720022</identifier><language>eng</language><publisher>IEEE</publisher><subject>Color multithresholding ; Digital Fundus Image ; Glaucoma detection ; Image segmentation ; Medical diagnostic imaging ; Optical imaging ; Optical sensors ; Optical variables measurement ; Power capacitors</subject><ispartof>2013 IEEE International Conference on Control System, Computing and Engineering, 2013, p.530-534</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c258t-58af3593b75f2ea92b33d31b1d9e25c49aeff075cf37f1cb774a977e197e53f23</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6720022$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6720022$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Noor, Nm</creatorcontrib><creatorcontrib>Khalid, Nea</creatorcontrib><creatorcontrib>Ariff, Nm</creatorcontrib><title>Optic cup and disc color channel multi-thresholding segmentation</title><title>2013 IEEE International Conference on Control System, Computing and Engineering</title><addtitle>ICCSCE</addtitle><description>Cup to disc ratio (CDR) is very important indicators in glaucoma detection. This paper proposes a method for glaucoma detection using digital fundus images with color multi-thresholding segmentation. The objective of this paper is to segment the optic cup and optic disc using color multi-thresholding segmentation and extracted feature such as cup to disc (c/d) ratio. Three ophthalmologists analysis was used as a reference to the automated segmented fundus image for a cup-to-disc ratio (CDR) measurement to discriminate glaucomatous from normal eyes. The performance of the optic cup and optic disc using color multi-thresholding segmentation has been evaluated and compared to each other. The results presented in this paper indicate that the features are clinically significant in the detection of glaucoma.</description><subject>Color multithresholding</subject><subject>Digital Fundus Image</subject><subject>Glaucoma detection</subject><subject>Image segmentation</subject><subject>Medical diagnostic imaging</subject><subject>Optical imaging</subject><subject>Optical sensors</subject><subject>Optical variables measurement</subject><subject>Power capacitors</subject><isbn>1479915068</isbn><isbn>9781479915088</isbn><isbn>1479915084</isbn><isbn>9781479915064</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj7FOwzAUAM2ABJR-QRf_QIKfHffFGygqUKlSB2CuHOe5MUqcKHYH_h4kOp1uOekY24AoAYR52jfNR7MrpQBVblEKIeUNe4AKjQEttvUdW6f0LYQARK2r-p49H-ccHHeXmdvY8S6kP5mGaeGutzHSwMfLkEOR-4VSPw1diGee6DxSzDaHKT6yW2-HROsrV-zrdffZvBeH49u-eTkUTuo6F7q2XmmjWtRekjWyVapT0EJnSGpXGUveC9TOK_TgWsTKGkQCg6SVl2rFNv_dQESneQmjXX5O10n1C5qbSLI</recordid><startdate>20131101</startdate><enddate>20131101</enddate><creator>Noor, Nm</creator><creator>Khalid, Nea</creator><creator>Ariff, Nm</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20131101</creationdate><title>Optic cup and disc color channel multi-thresholding segmentation</title><author>Noor, Nm ; Khalid, Nea ; Ariff, Nm</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c258t-58af3593b75f2ea92b33d31b1d9e25c49aeff075cf37f1cb774a977e197e53f23</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Color multithresholding</topic><topic>Digital Fundus Image</topic><topic>Glaucoma detection</topic><topic>Image segmentation</topic><topic>Medical diagnostic imaging</topic><topic>Optical imaging</topic><topic>Optical sensors</topic><topic>Optical variables measurement</topic><topic>Power capacitors</topic><toplevel>online_resources</toplevel><creatorcontrib>Noor, Nm</creatorcontrib><creatorcontrib>Khalid, Nea</creatorcontrib><creatorcontrib>Ariff, Nm</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Noor, Nm</au><au>Khalid, Nea</au><au>Ariff, Nm</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Optic cup and disc color channel multi-thresholding segmentation</atitle><btitle>2013 IEEE International Conference on Control System, Computing and Engineering</btitle><stitle>ICCSCE</stitle><date>2013-11-01</date><risdate>2013</risdate><spage>530</spage><epage>534</epage><pages>530-534</pages><eisbn>1479915068</eisbn><eisbn>9781479915088</eisbn><eisbn>1479915084</eisbn><eisbn>9781479915064</eisbn><abstract>Cup to disc ratio (CDR) is very important indicators in glaucoma detection. This paper proposes a method for glaucoma detection using digital fundus images with color multi-thresholding segmentation. The objective of this paper is to segment the optic cup and optic disc using color multi-thresholding segmentation and extracted feature such as cup to disc (c/d) ratio. Three ophthalmologists analysis was used as a reference to the automated segmented fundus image for a cup-to-disc ratio (CDR) measurement to discriminate glaucomatous from normal eyes. The performance of the optic cup and optic disc using color multi-thresholding segmentation has been evaluated and compared to each other. The results presented in this paper indicate that the features are clinically significant in the detection of glaucoma.</abstract><pub>IEEE</pub><doi>10.1109/ICCSCE.2013.6720022</doi><tpages>5</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | EISBN: 1479915068 |
ispartof | 2013 IEEE International Conference on Control System, Computing and Engineering, 2013, p.530-534 |
issn | |
language | eng |
recordid | cdi_ieee_primary_6720022 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Color multithresholding Digital Fundus Image Glaucoma detection Image segmentation Medical diagnostic imaging Optical imaging Optical sensors Optical variables measurement Power capacitors |
title | Optic cup and disc color channel multi-thresholding segmentation |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T23%3A19%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Optic%20cup%20and%20disc%20color%20channel%20multi-thresholding%20segmentation&rft.btitle=2013%20IEEE%20International%20Conference%20on%20Control%20System,%20Computing%20and%20Engineering&rft.au=Noor,%20Nm&rft.date=2013-11-01&rft.spage=530&rft.epage=534&rft.pages=530-534&rft_id=info:doi/10.1109/ICCSCE.2013.6720022&rft_dat=%3Cieee_6IE%3E6720022%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1479915068&rft.eisbn_list=9781479915088&rft.eisbn_list=1479915084&rft.eisbn_list=9781479915064&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6720022&rfr_iscdi=true |