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An automatic localization of optic disc in low resolution retinal images by modified directional matched filter
Joint Authors
Korah, Reeba
Raman, Murugan
Tamilselva, Kavitha
Source
The International Arab Journal of Information Technology
Issue
Vol. 16, Issue 1 (31 Jan. 2019)7 p.
Publisher
Publication Date
2019-01-31
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
An automatic optic disc localization in retinal images used to screen eye related diseases like diabetic retinopathy.
Many techniques are available to detect Optic Disc in high-resolution retinal images.
Unfortunately, there are no efficient methods available to detect Optic Disc in low-resolution retinal images.
The objective of this research paper is to develop an automated method for localization of Optic Disc in low resolution retinal images.
This paper proposes a modified directional matched filter parameters of the retinal blood vessels to localize the center of optic disc.
The proposed method was implemented in MATLAB and evaluated both normal and abnormal low resolution retinal images using the subset of Optic Nerve Head Segmentation Dataset (ONHSD) and the success percentage was found to be an average of 96.96% with 23seconds.
American Psychological Association (APA)
Raman, Murugan& Tamilselva, Kavitha& Korah, Reeba. 2019. An automatic localization of optic disc in low resolution retinal images by modified directional matched filter. The International Arab Journal of Information Technology،Vol. 16, no. 1.
https://search.emarefa.net/detail/BIM-883569
Modern Language Association (MLA)
Raman, Murugan…[et al.]. An automatic localization of optic disc in low resolution retinal images by modified directional matched filter. The International Arab Journal of Information Technology Vol. 16, no. 1 (Jan. 2019).
https://search.emarefa.net/detail/BIM-883569
American Medical Association (AMA)
Raman, Murugan& Tamilselva, Kavitha& Korah, Reeba. An automatic localization of optic disc in low resolution retinal images by modified directional matched filter. The International Arab Journal of Information Technology. 2019. Vol. 16, no. 1.
https://search.emarefa.net/detail/BIM-883569
Data Type
Journal Articles
Language
English
Notes
Includes appendix.
Record ID
BIM-883569