Parameterized Feasible Boundaries in Gradient Vector Fields

Segmentation of (noisy) images containing a complex ensemble of objects is difficult to achieve on the basis of local image information only. It is advantageous to attack the problem of extraction of object boundaries by a model-based segmentation procedure. Segmentation is achieved by tuning the parameters of the geometrical model in such a way that the boundary template locates and describes the object in the image.

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