SIGNIFICANCE OF HUMAN RETINAL OPTIC DISK LOCALIZATION IN VARIOUS RETINAL EYE DISEASES
Abstract
Optic Disk is one of the prominent features in human fundus images. Automatic localization and segmentation of optic disk can help in early diagnosis of diabetic retinopathies and preventing vision loss. In this paper robust method for optic disk detection and extraction of optic disk boundary is proposed based on morphological operations, smoothing filters and markers controlled watershed transform. This method has shown significant improvements in terms of detection and boundaries extraction of optic disk. This method used two types of markers: internal marker and external marker. These markers first modified the gradient magnitude image and then watershed transformation is applied on this modified gradient magnitude image for boundary extraction. The proposed method has optic disk detection success rate of 100% for Shifa and 87.6% for DIARETDB1 databases. Proposed method achieved average overlap of 51.19% for DIARETDB1 database and 73.98% for Shifa database which is higher than currents methods. Experimental results clearly demonstrate an efficient performance of the proposed algorithm.References
L. Gagnon, M. Lalonde, M. Beaulieu, and
M.-C. Boucher, "Procedure to detect
anatomical structures in optical fundus
images," in Proc. Conf. Med. Imag. 2001:
Image Process. San Diego, CA (2001) pp.
–1225.
H. Li and O. Chutatape, "Automatic Location
of the Optic Disk in Retinal Images," in
International Conference on Image
Processing (2001) pp. 837-840.
E. M. Hoffmann, L. M. Zangwill, J. G.
Crownston and R. N. Weinreb, "Optic disk
size and glaucoma," Survey of
Ophthalmology 52 (2007) 32.
http://www.uptodate.com/contents/congenita
l-anomalies-and-acquired-abnormalities-ofthe-optic-nerve (accessed Feb. 2011).
P. Kronfeld, Groos Anatomy and
Embryology of the Eye, H. Davson ed: The
Eye, Academic Press, London (1962).
K. W. Tobin, E. Chaum, V. P. Govindasamy,
T. P. Karnowski and O. Sezer,
"Characterization of the optic disc in retinal
imagery using a probabilistic approach," in
SPIE International Symposium on Medical
Imaging, 6144 (2006) pp. 1088–1097.
M. Park, J. S. Jin and S. Luo, "Locating the
optic disc in retinal images," in International
Conference on Computer Graphics, Imaging
and Visualisation, IEEE (2006) pp. 141 –
C. Sinthanayothin, J. F. Boyce, H. L. Cook
and T. H.Williamson, British Journal of
Ophthalmology 83 (1999) 902.
T. Walter and J. C. Klein, "Segmentation of
color fundus images of the human retina:
Detection of the optic disk and the vascular
tree using morphological techniques "
Proceedings of the 2nd International
Symposium on Medical Data Analysis
(2001) pp. 282-287.
J. Lowell, A. Hunter, D. Steel, A. Basu,
R. Ryder, E. Fletcher and L. Kennedy, IEEE
Transactions on Medical Imaging 23 (2004)
C. A. Lupascu, D. Tegolo, and L. D. Rosa,
Automated Detection of Optic Disc Location
in Retinal Images, in 21st IEEE International
Symposium on Computer-Based Medical
Systems (2008) pp. 17–22.
G. B. Kande, P. V. Subbaiah and T.S.
Savithri, Segmentation of exudates and optic
disc in retinal images, in Sixth Indian
Conference on Computer Vision, Graphics &
Image Processing (2008) pp. 535-542.
A. Sopharak, B. Uyyanonvara, S. Barmanb
and T. H. Williamson, Computerized Medical
Imaging and Graphics 32 (2008) 720.
K. StÄ…por, A. Åšwitonski, R. Chrastek and
G. Michelson, "Segmentation of fundus eye
images using methods of mathematical
morphology for glaucoma diagnosis,"
presented at 4th International Conference
(2004), Lecture Notes in Computer Science,
(2004).
DIARETDB1- Standard Diabetic Retinopathy
Database, http://www2.it.lut.fi/ project/
imageret/diaretdb1/ accessed May (2010).
R. C. Gonzalez and R. E. Woods, Digital
Image Processing, Second ed: Prentice
Hall, Upper Saddle River, New Jersey
(2002).
T. Walter, J.-C. Klein and P. Massin, IEEE
Transactions on Medical Imaging 21 (2002)
J. M. Seo, K. K. Kim, J. H. Kim, K. S. Park
and H. Chung, "Measurement of ocular
torsion using digital fundus image," in 26th
Annual International Conference of the IEEE
Engineering in Medicine and Biology. San
Francisco, USA (2004) pp. 1711–1713.
D. Welfer, J. Scharcanski, C. M. Kitamura,
M. M. D. Pizzol, L. W. B. Ludwig and D. R.
Marinho, Computers in Biology and
Medicine 40 (2010) 124
