USE OF THE RADON-TRANSFORM AS A METHOD OF EXTRACTING INFORMATION ABOUT SHAPE IN 2 DIMENSIONS

The perception and representation of shape plays a prominent role in computer vision research. Vision alone cannot deliver computationally realistic descriptions of shape; the image must first be processed to extract symbolic representations of the sort computers can manipulate. The present work evaluates the use of the Radon transform as a means whereby the transition from edge image data to symbolic representation may be realized. The potential of the method is developed and illustrated. Geometric properties and spatial relations made explicit by the transformation are listed, and a methodology is suggested for object recognition and the recovery of the viewer object correspondence.