Evaluating digital angles by a parallel diffusion process

Corners provide rich information for examining frame-to-frame displacement characteristics of images, and are very useful features for such purposes as image matching or shape analysis. This paper describes a new method that uses a diffusion-like process to classify angles in an image. The proposed method exploits the curvature value of a contour to characterize the corresponding angle. The effectiveness of the new method is illustrated with the results of experiments for a number of different angle types.