NDLI: Automatic localization and segmentation of Optic Disc in retinal fundus images through image processing techniques

Content Provider	IEEE Xplore Digital Library
Author	GeethaRamani, R. Dhanapackiam, C.
Copyright Year	2014
Abstract	The Optic Disc location detection and extraction are main role of automatically analyzing of retinal image. Ophthalmologists analyze the Optic Disc for finding the presence or absence of retinal diseases viz. Glaucoma, Diabetic Retinopathy, Occlusion, Orbital lymphangioma, Papilloedema, Pituitary Cancer, Open-angle glaucoma etc. In this paper, we attempted to localize and segment the Optic Disc region of retinal fundus images by template matching method and morphological procedure. The optic nerve is originate in the brightest region of retinal image and it act as a main region to detect the retinal diseases using the ratio of cup and disc(CDR) and the ratio between Optic rim & center of the Optic Disc. The proposed work localizes and segments the Optic Disc then the corresponding center points & diameter of retinal fundus images are determined. We have considered the Gold Standard Database (available at public repository) that comprises of 30 retinal fundus images to our experiments. The location of Optic Disc is detected, segmented for all images and the center & diameter of segmented Optic Disc are evaluated against the Optic Disc center points & diameter (ground truth specified by ophthalmologist experts). The Optic Disc centers & diameter identified through our method are near close to ground truth provided by the ophthalmologist experts. The proposed system achieves 98.7% accuracy in locating the Optic Disc while compare with other Optic Disc detection methodologies such as Active Contour Model, Fuzzy C-Means, Artificial Neural Network.
Starting Page	1
Ending Page	5
File Size	234409
Page Count	5
File Format	PDF
e-ISBN	9781479949892
DOI	10.1109/ICRTIT.2014.6996090
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-10
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optical filters Image segmentation Biomedical optical imaging Accuracy Morphology Optical computing Optical imaging Retina Template Match Retinal Fundus Image Adaptive optics Optic Disc
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Automatic localization of the optic disc in retinal fundus images using multiple features

Fast Automatic Optic Disc Localization in Retinal Images

Automatic measurement of cup to disc ratio for diagnosis of glaucoma on retinal fundus images

Automated segmentation of optic disc in fundus images

Multiresolution localization and segmentation of the optical disc in fundus images using inpainted background and vessel information

A novel method for glaucoma detection using optic disc and cup segmentation in digital retinal fundus images

An efficient automatic method of Optic disc segmentation using region growing technique in retinal images

Automatic detection of optic disc in fundus images by curve operator

Automatic localization and segmentation of optic disc in fundus image using morphology and level set

Automatic localization and segmentation of Optic Disc in retinal fundus images through image processing techniques

Similar Documents

Automatic localization of the optic disc in retinal fundus images using multiple features

Fast Automatic Optic Disc Localization in Retinal Images

Automatic measurement of cup to disc ratio for diagnosis of glaucoma on retinal fundus images

Automated segmentation of optic disc in fundus images

Multiresolution localization and segmentation of the optical disc in fundus images using inpainted background and vessel information

A novel method for glaucoma detection using optic disc and cup segmentation in digital retinal fundus images

An efficient automatic method of Optic disc segmentation using region growing technique in retinal images

Automatic detection of optic disc in fundus images by curve operator

Automatic localization and segmentation of optic disc in fundus image using morphology and level set

Automatic localization and segmentation of Optic Disc in retinal fundus images through image processing techniques