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The change in morphology, diameter, branching pattern and/or tortuosity of retinal blood vessels is an important indicator of various clinical disorders of the eye and the body. This paper reports a supervised methodology for segmentation of the retinal vasculature from ocular fundus images. A 7-D feature vector is constructed by computing the outputs of morphological linear operators, line strengths...
Automatic retinal blood vessel extraction is very important for early diagnosis and prevention of several retinal diseases. In this paper, a new retinal vasculature segmentation algorithm is proposed based on mathematical morphology, principal curvature, non-maximal suppression and hysteresis thresholding based morphological reconstruction. The blood vessels are enhanced by applying the top-hat transformation...
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