Thursday, 31 March, 2016 - NECSTLab @ Politecnico di Milano

[1] http://www.ces.clemson.edu/~ahoover/stare/

➢

➢

●

●

➢

[2] http://www.isi.uu.nl/Research/Databases/DRIVE/

1

2

2

2

2

2

2

2

2

2

2

2

2

2

2

❏ Sensitivity

❏

3

❏ Sensitivity

❏

3

●

●

●

●

4

●

●

●

●SW

HW

5

●

●

●

●

6

●

●

●●

7

●

●

●

●

8

[14]

[1]Raja J.B., C.G. Ravichandran, Blood Vessel Segmentation For High Resolution Retinal Images, Inter. J. of Comp. Science Issues,(2001)[2] Muhammed Gokhan Cinsdikici, Dogan Aydın Detection of blood vessels in ophthalmoscope images using MF/ant algorithm, Computer Methods and Programs in Biomedicine(2009)[3]Alonso-Montes, C, M Ortega, M.G. Penedo, D.L. Vilarino, 2008 Pixel parallel vessel tree extraction for a personal authentication system, Circuits and Systems,. ISCAS (2008)[4]Chaudhuri, S, S. Chatterjee, N. Katz, Detection of blood vessels in retinal images using two- dimensional matched filters, IEEE Transactions on Medical Imaging, (1989)

[1]

[2]

[3]

[4]

9

[

10

Y. Wang, G. Ji, P. Lin, and E. Trucco, “Retinal vessel segmentation using multiwavelet kernels and multiscale hierarchical decomposition,” Pattern Recognition, vol. 46, no. 8, pp. 2117-2133, (2013) [20] Ana Salazar-Gonzalez, Djibril Kaba, Yongmin Li and Xiaohui Liu, “Segmentation of Blood Vessels and Optic Disc inRetinal Images”, IEEE Journal of Biomedical and Health Informatics, ISSN 2168-2194, pp 1-14,(2014)

11

Facebook https://www.facebook.com/beye.project/

Twitter https://twitter.com/BEye_NECSTLab

Politecnico di Milano, NECST lab for Xilinx Open Hardware Contest 2016 #XOHW16