Automatic Detection of Blood Vessels in Digital Retinal Images using Soft Computing Technique

Author:

Adalarasan R.,Malathi R.

Publisher

Elsevier BV

Subject

General Medicine

Reference32 articles.

1. SarniSuhaila Rahim, Vasile Palade, Christina Jayne, Andreas Holzinger and James Shuttleworth. “Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Fuzzy Image Processing”, Faculty of Engineering and Computing, Coventry University, Prior Street, Coventry CV1 5FB, UK, © Springer International Publishing Switzerland 2015, Y. Guo et al. (Eds.): BIH 2015, LNAI 9250, pp. 379–388, 2015.

2. Dr.Chandrashekhar. M. Phil. Associate Professor, Dept. of ECE, VVCE, Mysore. “An Approach for the detection of Vascular Abnormalities in Diabetic Retinopathy”, International Journal of Data Mining Techniques and Applications, Vol: 02, December 2013, Pages: 246–250.

3. Anil Kumar Neelapala, MeharNiranjanPakki. “Analyzing the Severity of the Diabetic Retinopathy and Its Preventive Measures by Maintaining Database Using Gui In Matlab”, International Jouranal of Recent Technology and Engineering (IJRTE), ISSN: 2277–3878, Volume -1, Issue – 3, Auigust 2012.

4. JyoyiPatil, Dr, A.L. Chaudhari, “Detection of Diabetic Retinopathy Using Sobel Edge Detection Method in DIP”, International Jouranal of Scientific & Engineering Research, Volume 3, Issue 7, July-2012.

5. Sahinaz Safari Sanjani, Jean-Baptiste Boin, Karianne Bergen, “Blood Vessel Segmentation in Retinal Fundus Images”.

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