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International Journal of Information Technology & Computer Science ( IJITCS )

Abstract :

Retinopathy of Prematurity (ROP) is a common retinal neovascular disorder of premature infants. It can  be characterized by inappropriate and disorganized vessel. This paper presents a method for blood vessel  detection on infant retinal images. We proposed a set of automatic methods to extract skeletonized  structure of premature infant’s low-contrast retinal blood vessel network. The method is composed of  four steps : Statistically optimized Laplacian of Guassian filter for edge detection, Medial Axis  Skeletonization, Image Pruning, and Spur Removal by morphological Opening. The algorithm has been  applied to test on 40 infant retinal images. The result from the algorithm was compared with  ophthalmologists’ hand-drawn ground truth and it can detect the blood vessel with a high specificity of  0.913 and sensitivity of 0.982

Keywords :

: Vessel Detection, Laplacian of Gaussian , Infant Retinal Images

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