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Modelling the Contour of the Human Retina by Fractal Interpolation

G. Hichem, J. Malek, H. Belmabrouk


The aim of this paper is reconstruction 2D of the human retina contour by fractal interpolation. We start by segmenting the image to remove noise and then apply the active contour algorithm called Snake also to determine the contour of the blood vessel from the human retina image. Then, we used the Douglas-Peucker algorithm to determine the characteristic points of this contour. In the next step, the fractal interpolation is applied to reconstruct the contour. The results obtained show the effectiveness of the Douglas-Peucker algorithm is a simplification since the rate between 79% to 95%, and also the fractal interpolation advantage since it possible to reconstruct the curve with an error lower than 5%.


Active contour, Douglas-Peucker algorithm, Fractal interpolation, Genetic algorithm.

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