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An active contour model for the automatic detection of the fovea in fluorescein angiographies

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4 Author(s)
J. Gutierrez ; Dept. d''Inf., Valencia Univ., Spain ; I. Epifanio ; E. De Ves ; F. J. Ferri

Fovea segmentation in fluorescein angiographies is a fundamental first task in any study of ocular diseases. The importance of fovea detection is due to the fact that the nearer the centre of the fovea a lesion is, the graver this lesion is. The proposed method is based on B-snakes and uses a greedy algorithm to minimise an appropriate energy which accurately leads to a convenient characterisation of the boundary of the foveal zone. The first initialisation step, which consists of finding the most appropriate local minimum along with a procedure to construct an initial contour involving a region growing algorithm, leads to a convenient and robust initialisation of the proposed active contour model

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Pattern Recognition, 2000. Proceedings. 15th International Conference on  (Volume:4 )

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