Title :
Skeletonisation as model-based feature detection
Author :
Wright, M.W. ; Fallside, F.
Author_Institution :
Dept. of Eng., Cambridge Univ., UK
Abstract :
Two closely related methods for skeletonisation via a Euclidean distance transform are presented. First from an observation on the response of the human visual system to a grey level image of the transform, convolution 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 of a specific geometric model, or feature, in a way similar to that used in contemporary edge detection algorithms. Examples of the technique are shown and the results discussed.<>
Keywords :
computer vision; feature extraction; transforms; Euclidean distance transform; Marr-Hildreth operator; computer vision; convolution; model-based feature detection; shape description; skeletonisation; symmetric axis transform;
Journal_Title :
Communications, Speech and Vision, IEE Proceedings I