  We introduce a novel method to extract the vessels in eye fun-dus images
which is adaptive to lighting variations. In the Logarithmic Image Processing
framework, a 3-segment probe detects the vessels by probing the topographic
surface of an image from below. A map of contrasts between the probe and the
image allows to detect the vessels by a threshold. In a lowly contrasted image,
results show that our method better extract the vessels than another state-of
the-art method. In a highly contrasted image database (DRIVE) with a reference
, ours has an accuracy of 0.9454 which is similar or better than three
state-of-the-art methods and below three others. The three best methods have a
higher accuracy than a manual segmentation by another expert. Importantly, our
method automatically adapts to the lighting conditions of the image
acquisition.
