Blood vessel segmentation in retinal images using mathematical morphology

Blood vessel segmentation in retinal images using mathematical morphology

It is implemented a vessel segmentation algorithm for fundus retinal images. The algorithm was introduced in the following paper:
Heneghan, C., Flynn, J., O’Keefe, M., & Cahill, M. (2002).Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis. Medical Image Analysis, 6(4), 407–429.
Please refer to the paper for more explanation. I make the code as simple as possible, so one can easily keep going through the paper & its equations. For simplicity, I include one of the retinal images from DRIVE for simplicity. So, one can download the rest of images from the following
http://www.isi.uu.nl/Research/Databases/DRIVE/
After segmentation, 4 evaluation metrics are calculated: true positive rate, false positive rate, accuracy & precision.
I wrote this code in 2012 during my M.S. in Isfahan University, Iran, but, I tried it again on MATLAB 2013b.
Regards,
Ashkan.