Please use this identifier to cite or link to this item: https://doi.org/10.1109/TBME.2006.888831
Title: Automated optic disk boundary detection by modified active contour model
Authors: Xu, J.
Chutatape, O.
Chew, P. 
Keywords: Boundary detection
Deformable model
Fundus image
Optic disk
Snake
Issue Date: Mar-2007
Citation: Xu, J., Chutatape, O., Chew, P. (2007-03). Automated optic disk boundary detection by modified active contour model. IEEE Transactions on Biomedical Engineering 54 (3) : 473-482. ScholarBank@NUS Repository. https://doi.org/10.1109/TBME.2006.888831
Abstract: This paper presents a novel deformable-model-based algorithm for fully automated detection of optic disk boundary in fundus images. The proposed method improves and extends the original snake (deforming-only technique) in two aspects: clustering and smoothing update. The contour points are first self-separated into edge-point group or uncertain-point group by clustering after each deformation, and these contour points are then updated by different criteria based on different groups. The updating process combines both the local and global information of the contour to achieve the balance of contour stability and accuracy. The modifications make the proposed algorithm more accurate and robust to blood vessel occlusions, noises, ill-defined edges and fuzzy contour shapes. The comparative results show that the proposed method can estimate the disk boundaries of 100 test images closer to the groundtruth, as measured by mean distance to closest point (MDCP) < 3 pixels, with the better success rate when compared to those obtained by gradient vector flow snake (GVF-snake) and modified active shape models (ASM). © 2007 IEEE.
Source Title: IEEE Transactions on Biomedical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/129794
ISSN: 00189294
DOI: 10.1109/TBME.2006.888831
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

63
checked on Oct 15, 2018

WEB OF SCIENCETM
Citations

48
checked on Oct 8, 2018

Page view(s)

11
checked on Sep 13, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.