NDLI: Probability map based localization of optic disk

Content Provider	IEEE Xplore Digital Library
Author	Budai, A. Laurik, L. Hornegger, J. Somfai, G.M. Michelson, G.
Copyright Year	2012
Description	Author affiliation: Department of Ophthalmology, Semmelweis University, Budapest, Hungary (Somfai, G.M.) \|\| Pattern Recognition Lab, University of Erlangen-Nuremberg, Germany (Budai, A.; Laurik, L.; Hornegger, J.) \|\| Department of Ophthalmology, University of Erlangen-Nuremberg, Germany (Michelson, G.)
Abstract	Fundus imaging is one of themost commonly used modalities for examining retinal structures. The images are mostly analyzed by physicians. These diagnoses are subjective with a high rate of inter-observer variability, therefore an automated or a computer aided diagnosis is needed to speed up the monotonous screening process and to provide objective measurements. In this article we present an automatic algorithm for localization of the optic disk center in fundus images. The application field of the algorithm is preprocessing for further algorithms such as segmentation of the optic disk boundary, vessel tracking etc. The algorithm is evaluated using the DRIVE database and our own public high resolution image database. The tests show a localization error less than 0.2 optic disk diameter (ODD) in case of the high resolution database, and less than 0.35 ODD in case of the lower resolution DRIVE database.
Starting Page	568
Ending Page	571
File Size	945083
Page Count	4
File Format	PDF
ISBN	9781457721915
ISSN	21578672
e-ISBN	9783200023284
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-11
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Telecommunica
Subject Keyword	Image segmentation Image resolution Vessel segmentation Databases Optic disk localization Optical imaging Retina Adaptive optics Standards Fundus Imaging
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

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

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

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

Automatic detection of the optic cup using vessel kinking in digital retinal fundus images

Optic disc localization using local vessel based features and support vector machine

Feature extraction in retinal fundus images

Blood vessel segmentation in video-sequences from the human retina

OD-Match: PatchMatch based Optic Disk detection

Segmentation of Exudates and Optic Disk in Retinal Images

Probability map based localization of optic disk

Similar Documents

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

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

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

Automatic detection of the optic cup using vessel kinking in digital retinal fundus images

Optic disc localization using local vessel based features and support vector machine

Feature extraction in retinal fundus images

Blood vessel segmentation in video-sequences from the human retina

OD-Match: PatchMatch based Optic Disk detection

Segmentation of Exudates and Optic Disk in Retinal Images

Probability map based localization of optic disk