Extraction of Blood Vessels from Retinal Fundus Images using Maximum Principal Curvatures and Adaptive Histogram Equalization
Author:
Affiliation:
1. KITS,Department of ECE,Warangal,TS,India
2. School of Electronics Engineering, Vellore Institute of Technology,Chennai,TN,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9768398/9768400/09768517.pdf?arnumber=9768517
Reference17 articles.
1. Optimized maximum principal curvatures based segmentation of blood vessels from retinal images
2. Maximum principle for hypersurfaces
3. Automated microaneurysm detection method based on eigenvalue analysis using hessian matrix in retinal fundus images
4. Multimodal registration of SD-OCT volumes and fundus photographs using histograms of oriented gradients
5. Retinal Blood Vessels Segmentation using ISODATA and High Boost Filter
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