SKELETONISATION AS MODEL-BASED FEATURE DETECTION

Two closely related methods for skeletonisation via a Euclidean distan ce transform are presented. First from an observation on the response of the human visual system to a grey level image of the transform, con volution with the Marr-Hildreth operator is proposed. Secondly, it is suggested that skeletonisation can be performed by convolution of the distance transform with a function designed to detect the occurrence o f a specific geometric model, or feature, in a way similar to that use d in contemporary edge detection algorithms. Examples of the technique are shown and the results discussed.