OD Localization Using Rotational 2D Vessel Projection with Decision Tree Classification
Pages 27 - 32
Abstract
Automatic Optic Disc (OD) localization is an important problem in ophthalmic image processing. Knowing its location helps doctors with the early detection of preventable eye diseases. Inspired by a fast and accurate OD localization algorithm utilizing the vessel projection technique that is usually inefficient when the OD in the image is unusually pale, we employed the decision tree with 5 features to improve the accuracy of the existing algorithm. Also to overcome the problem of poor accuracy when the image is tilted, we repeatedly run this improved algorithm on a series of images tilted at different degree from the original image to obtain the voted location of the OD.
The proposed method has been tested on different starting angles between 0 to 180 degrees from Structured Analysis of the Retina (STARE) and retinopathy of prematurity (ROP) datasets. We achieve an average accuracy of up to 86% with an average computation time per image of only 13 seconds per image. Our approach outperforms two other based approaches, Mahfouz and Rotational 2D Vessel Projection (RVP), by up to 34% and 12%, respectively.
References
[1]
X. Wu, B. Dai, W. Bu, "Optic Disc Locatization Using Directional Models"IEEE Trans. Image Process,.,vol 25, no. 9, pp 4433--4442, July 2016
[2]
N. Muangnakm, P. Aimmanee, S. Makhanov, B. Uyyanonvara,"Vessel transform for automatic optic disk detection in retinal images" IET Image Process., vol. 9, no.9, pp. 743--750, Aug 2015
[3]
A. E. Mahfouz and A. S. Fahmy, "Fast Localization of the Optic Disc Using Projection of Image Features" IEEE Trans. Image Process., vol. 19, no.12, pp. 3285--3289, Dec.2010
[4]
Q. Cao, J. Liu, Q. Zhao., "Fast Automatic Optic Disc Localization in Retinal Images", Image and Graphic (ICIG), 2013 Seventh International Conference on, vo1., pp. 827,831
[5]
P. Tangseng, "Rotational 2D Vessel Projection" Sirindhorn International Institute of Technology Thammasat University, 2014
[6]
Otsu, N., "A Threshold Selection Method from Gray-Level Histograms," IEEE Transactions on Systems, Man, and Cybernetics, Vol. 9, No. 1, 1979, pp. 62--66.
[7]
D. Zhange, Y. Zhao "Novel Accurate and Fast Optic Disc Detection in Retinal Images with Vessel Distribution and Directional Characteristic,"IEEE J. Biomed. Health Informat., vol. 20, no. 1,pp. 333--340, Jan.2014
[8]
Burk, Scott, John S. Cohen, and Harry Quigley. Healthy Optic Nerve and Optic Nerve in Eye with Glaucoma. Digital image.Optic Nerve Cupping | Glaucoma Research Foundation. Glaucoma Research Foundation, 21 Aug. 2012. Web. 19 May 2015.
[9]
Normal Vision and the Same Scene as Viewed by a Person with Glaucoma. Digital image. Facts About Glaucoma | National Eye Institute. The National Eye Institute (NEI), n.d. Web. 19 May 2015.
[10]
S. Lu, J. Liu, J.H. Lim, Z. Zhang, N.M. Tan, W.K. Wong, T.Y. Wong. (2010). Automatic optic disc segmentation based on image brightness and contrast, In SPIE Medical Imaging, International Society for Optics and Photonics 76234J(2010) 1--8.
[11]
Michael Goldbaum. (2003). The STARE Project, from http://www.ces.clemson.edu/~ahoover/stare/
[12]
Normal Vision and the Same Scene as Viewed by a Person with Glaucoma. Digital image. Facts About Glaucoma | National Eye Institute. The National Eye Institute (NEI), n.d. Web. 19 May 2015.
[13]
J.J. Staal, M.D. Abramoff, M. Niemeijer, M.A. Viergever, B. van Ginneken, "Ridge based vessel segmentation in color images of the retina", IEEE Transactions on Medical Imaging, 2004, vol. 23, pp. 501--509.
Index Terms
- OD Localization Using Rotational 2D Vessel Projection with Decision Tree Classification
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Published In
February 2018
76 pages
ISBN:9781450363785
DOI:10.1145/3193063
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Published: 26 February 2018
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- Research-article
- Research
- Refereed limited
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- Thammasat University
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ICIIT 2018
ICIIT 2018: 2018 International Conference on Intelligent Information Technology
February 26 - 28, 2018
Ha Noi, Viet Nam
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