Open Access
ARTICLE
An Implementation of Multiscale Line Detection and Mathematical Morphology for Efficient and Precise Blood Vessel Segmentation in Fundus Images
1 Department of Electrical and Computer Engineering, COMSATS University Islamabad, Abbottabad Campus, Abbottabad, 22060, Pakistan
2 Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, P. O. Box 51178, Riyadh, 11543, Saudi Arabia
3 Faculty of Information and Communication Technology, University Tunku Abdul Rehman, Kampar Campus, Kampar, 31900, Malaysia
4 Centre for Intelligent Signal and Imaging Research, University Teknologi PETRONAS, Bandar Seri Iskandar, Perak, 32610, Malaysia
5 School of Computing Sciences, University of East Anglia, Norwich, NR47TJ, UK
* Corresponding Authors: Syed Ayaz Ali Shah. Email: ; Aamir Shahzad. Email: