  This article deals with the problem of vessel edge and centerline detection
using classical image processing techniques due to their simpleness and
easiness to be implemented. The method is divided into four steps: the vessel
enhancement which implies a non-linear filtering proposed by Frangi, the
thresholding using Otsu method and the contour detection using the Canny edge
detector due to its good performances for the small vessels and the
morphological skeletonisation. The algorithms are tested on real data collected
from a cardiac catheterism laboratory and it is accurate for images with good
spatial resolution (512*512). The output image can be used for further
processing in order to find the vessel length or its radius.
