An application of active contour models to head boundary location

Jacob Waite, William Jeffrey Welsh · 1990

Locating the boundary of a head in a head-and-shoulders image is an important problem in model based coding. An approach to this problem using adaptive contour models or 'snakes ' is presented. The paper provides a tutorial introduction to the theory of snakes and shows in some detail how they may be implemented using a finite difference method. Some experimental results are presented showing snakes locating the head in a set of test images. Edge Detection A classical problem in image processing is the detection, location and description of the edges or boundaries of objects in an image. Classical edge detection algorithms provide information on edges in the form of an 'edge image ' [1]. In general they work by setting the grey level of each pixel in the 'edge image ' to a value that is dependent on the magnitude of

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