On active contour models and balloons
CVGIP: Image Understanding
Automatic Segmentation of the Papilla in a Fundus Image Based on the C-V Model and a Shape Restraint
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Robust optic disk segmentation from colour retinal images
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
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In this paper we present an approach to achieve high accuracy of optic disk segmentation using information on the location of blood vessels (vessel map). Morphological preprocessing is employed to remove the vessels from the image and to compute the vessel map. Vessel map is combined with edge map to obtain robust initial approximation of OD boundary using circular Hough transform. We use this approximation to build 2D weight function for the edge map, which is then used in the active contour model. We introduce an additional step to perform correction of the contour; in this step, the active contour model includes pressure forces and soft elliptical constraint. Vessel map is used in calculation of the ellipse parameters and pressure values. The method was tested on 1240 publicly available retinal images, and manual labeling of the disk boundary by medical experts was used to assess its accuracy and compare it with other optic disk segmentation methods.