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International Conference on Computing: Theory and Applications (ICCTA'07)
A Novel Integrated Approach Using Dynamic Thresholding and Edge Detection (IDTED) for Automatic Detection of Exudates in Digital Fundus Retinal Images
Kolkata, India
March 05-March 07
ISBN: 0-7695-2770-1
ASCII Text
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Anantha Vidya Sagar, S. Balasubramaniam, V. Chandrasekaran, "A Novel Integrated Approach Using Dynamic Thresholding and Edge Detection (IDTED) for Automatic Detection of Exudates in Digital Fundus Retinal Images," International Conference on Computing: Theory and Applications, pp. 705-710, International Conference on Computing: Theory and Applications (ICCTA'07), 2007.
 
 
BibTex
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@article{ 10.1109/ICCTA.2007.16,
author = {Anantha Vidya Sagar and S. Balasubramaniam and V. Chandrasekaran},
title = {A Novel Integrated Approach Using Dynamic Thresholding and Edge Detection (IDTED) for Automatic Detection of Exudates in Digital Fundus Retinal Images},
journal ={International Conference on Computing: Theory and Applications},
volume = {0},
year = {2007},
isbn = {0-7695-2770-1},
pages = {705-710},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICCTA.2007.16},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - International Conference on Computing: Theory and Applications
TI - A Novel Integrated Approach Using Dynamic Thresholding and Edge Detection (IDTED) for Automatic Detection of Exudates in Digital Fundus Retinal Images
SN - 0-7695-2770-1
SP705
EP710
A1 - Anantha Vidya Sagar,
A1 - S. Balasubramaniam,
A1 - V. Chandrasekaran,
PY - 2007
KW - null
VL - 0
JA - International Conference on Computing: Theory and Applications
ER -
 
Anantha Vidya Sagar, Sri Sathya Sai Institute of Higher Learning, India
S. Balasubramaniam, Sri Sathya Sai Institute of Higher Learning, India
V. Chandrasekaran, Sri Sathya Sai Institute of Higher Learning, India; SMIEEE
The Automatic Screening of patients for early detection and prevention of Diabetic Retinopathy (DR) has been the prime focus in recent times due to the large ratio of patients to medical ophthalmologists. Exudate detection is one of the main steps of DR. A reliable method for detection of exudates is presented in this paper. Optic disc (OD) is localized by the Principle Component Analysis (PCA). Active contour based approach is used for accurate segmentation of boundary of OD. In our IDTED method, pre-processing techniques such as histogram specification and local contrast enhancement are integrated with dynamic thresholding (DT) and edge detection for exudate detection. The IDTED algorithm, when tested on 25 digital fundus retinal images and compared with the performance of a human grader, has shown a mean sensitivity of 99% and a mean predictivity of 93%.
Citation:
Anantha Vidya Sagar, S. Balasubramaniam, V. Chandrasekaran, "A Novel Integrated Approach Using Dynamic Thresholding and Edge Detection (IDTED) for Automatic Detection of Exudates in Digital Fundus Retinal Images," iccta, pp.705-710, International Conference on Computing: Theory and Applications (ICCTA'07), 2007
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