Fractal-based Automatic Localization and Segmentation of Optic Disc in Retinal Images
In this paper, we proposed a novel algorithm to detect optic disc location in retinal images. Optic disc is a bright disk area and all major blood vessels and nerves originate from it. With its high fractal dimension of blood vessel, optic disc can be easily differentiated from other bright regions...
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| container_volume | 2007 |
| creator | Ying, Huajun Zhang, Ming Liu, Jyh-Charn |
| description | In this paper, we proposed a novel algorithm to detect optic disc location in retinal images. Optic disc is a bright disk area and all major blood vessels and nerves originate from it. With its high fractal dimension of blood vessel, optic disc can be easily differentiated from other bright regions such as hard exudates and artifacts. Compared with existing algorithms, ours has much lower computational cost and is more robust. With its location known, segmentation of optic disc can be done with simple local histogram analysis. The algorithm can be valuable for automated processing for early stage retinal disease. |
| doi_str_mv | 10.1109/IEMBS.2007.4353247 |
| format | Conference Proceeding |
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Optic disc is a bright disk area and all major blood vessels and nerves originate from it. With its high fractal dimension of blood vessel, optic disc can be easily differentiated from other bright regions such as hard exudates and artifacts. Compared with existing algorithms, ours has much lower computational cost and is more robust. With its location known, segmentation of optic disc can be done with simple local histogram analysis. 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The algorithm can be valuable for automated processing for early stage retinal disease.</description><subject>Algorithms</subject><subject>Biomedical imaging</subject><subject>Blood vessels</subject><subject>Computational efficiency</subject><subject>Diseases</subject><subject>fractal</subject><subject>Fractals</subject><subject>histogram</subject><subject>Histograms</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Image segmentation</subject><subject>Optic Disk - blood supply</subject><subject>Optic Disk - pathology</subject><subject>Optical detectors</subject><subject>Retina</subject><subject>Retinal Diseases - diagnosis</subject><subject>Retinal Diseases - pathology</subject><subject>retinal images</subject><subject>Robustness</subject><subject>Software</subject><issn>1094-687X</issn><issn>1557-170X</issn><issn>1558-4615</issn><isbn>9781424407873</isbn><isbn>1424407877</isbn><isbn>9781424407880</isbn><isbn>1424407885</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNpVkF9Lw0AMwM9_uDH3BRTkvkBn7nLt3T3qnDqYDJyCbyNt03HSdmPtHvTTW9kUzEtCfj8SEiEuFYyUAn8znTzfLUYawI4MxqiNPRJDb50y2hiwzsGx6Ks4dpFJVHzyj1k87Rh4EyXOvvfEsGk-oAv0HXbnoqccgPYK--LtYUtZS2WUUsO5vN2164rakMnZOqMyfHX1upZU53LBq4rrdt9YF3K--dHuQ5PJUMsXbkNNpZxWtOLmQpwVVDY8PORBt2fyOn6KZvPH6fh2FgVE10ZF4VNGtt6Q1-BdrjPlXeyTlE3iCbPU28QAAwHEORrNpJGNVWgZOM1xIK73cze7tOJ8udmGirafy9_7OuFqLwRm_sOHh-I3Av9hpg</recordid><startdate>20070101</startdate><enddate>20070101</enddate><creator>Ying, Huajun</creator><creator>Zhang, Ming</creator><creator>Liu, Jyh-Charn</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope></search><sort><creationdate>20070101</creationdate><title>Fractal-based Automatic Localization and Segmentation of Optic Disc in Retinal Images</title><author>Ying, Huajun ; Zhang, Ming ; Liu, Jyh-Charn</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i338t-ff9be3e794a92098d2c198596be469a3cb97640e0a005d342ea23e47137e0ebd3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Algorithms</topic><topic>Biomedical imaging</topic><topic>Blood vessels</topic><topic>Computational efficiency</topic><topic>Diseases</topic><topic>fractal</topic><topic>Fractals</topic><topic>histogram</topic><topic>Histograms</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Image segmentation</topic><topic>Optic Disk - blood supply</topic><topic>Optic Disk - pathology</topic><topic>Optical detectors</topic><topic>Retina</topic><topic>Retinal Diseases - diagnosis</topic><topic>Retinal Diseases - pathology</topic><topic>retinal images</topic><topic>Robustness</topic><topic>Software</topic><toplevel>online_resources</toplevel><creatorcontrib>Ying, Huajun</creatorcontrib><creatorcontrib>Zhang, Ming</creatorcontrib><creatorcontrib>Liu, Jyh-Charn</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ying, Huajun</au><au>Zhang, Ming</au><au>Liu, Jyh-Charn</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Fractal-based Automatic Localization and Segmentation of Optic Disc in Retinal Images</atitle><btitle>2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society</btitle><stitle>IEMBS</stitle><addtitle>Conf Proc IEEE Eng Med Biol Soc</addtitle><date>2007-01-01</date><risdate>2007</risdate><volume>2007</volume><spage>4139</spage><epage>4141</epage><pages>4139-4141</pages><issn>1094-687X</issn><issn>1557-170X</issn><eissn>1558-4615</eissn><isbn>9781424407873</isbn><isbn>1424407877</isbn><eisbn>9781424407880</eisbn><eisbn>1424407885</eisbn><abstract>In this paper, we proposed a novel algorithm to detect optic disc location in retinal images. Optic disc is a bright disk area and all major blood vessels and nerves originate from it. With its high fractal dimension of blood vessel, optic disc can be easily differentiated from other bright regions such as hard exudates and artifacts. Compared with existing algorithms, ours has much lower computational cost and is more robust. With its location known, segmentation of optic disc can be done with simple local histogram analysis. The algorithm can be valuable for automated processing for early stage retinal disease.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>18002913</pmid><doi>10.1109/IEMBS.2007.4353247</doi><tpages>3</tpages></addata></record> |
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| identifier | ISSN: 1094-687X |
| ispartof | 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007, Vol.2007, p.4139-4141 |
| issn | 1094-687X 1557-170X 1558-4615 |
| language | eng |
| recordid | cdi_ieee_primary_4353247 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Algorithms Biomedical imaging Blood vessels Computational efficiency Diseases fractal Fractals histogram Histograms Humans Image Processing, Computer-Assisted Image segmentation Optic Disk - blood supply Optic Disk - pathology Optical detectors Retina Retinal Diseases - diagnosis Retinal Diseases - pathology retinal images Robustness Software |
| title | Fractal-based Automatic Localization and Segmentation of Optic Disc in Retinal Images |
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