Segmentation of blood vessels in retinal fundus images using maximum principal curvature

Version 1.0.0.0 (742 KB) by Achintha Iroshan
Presented Algorithm segments blood vessels of retinal image with a high degree of accuracy
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Updated 29 Oct 2017

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Implemented algorithm is based on Maximum principal curvature.Here the green slice of retinal image is extracted to segment the blood vessels.After that maximum principal curvature is obtained in every pixel of the Gaussian filtered Image.After some contrast enhancement final segmented image is obtained using ISO Data thresholding.
This algorithm is validated using images in drive database . (Accuracy> 0.94)

Cite As

Achintha Iroshan (2024). Segmentation of blood vessels in retinal fundus images using maximum principal curvature (https://www.mathworks.com/matlabcentral/fileexchange/64884-segmentation-of-blood-vessels-in-retinal-fundus-images-using-maximum-principal-curvature), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2015a
Compatible with any release
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Version Published Release Notes
1.0.0.0

documentation
version 2