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<p>A method for shape description of planar objects that integrates both region and boundary features is presented. The method is an implementation of a 2D dynamic grassfire that relies on a distance surface on which elastic contours minimize an energy function. The method is based on an active contour model. Numerous implementation aspects of the shape description method were optimized. A Euclidean metric was used for optimal accuracy, and the active contour model permits bypassing some of the discretization limitations inherent in using a digital grid. Noise filtering was performed on the basis of both contour feature measures and region measures, that is, curvature extremum significance and ridge support, respectively, to obtain robust shape descriptors. Other improvements and variations of the algorithmic implementation are proposed.</p>
region features; grassfire transform simulation; pattern recognition; active contour model; shape description; boundary features; elastic contours; Euclidean metric; digital grid; curvature extremum significance; filtering and prediction theory; pattern recognition; picture processing

F. Leymarie and M. Levine, "Simulating the Grassfire Transform Using an Active Contour Model," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 14, no. , pp. 56-75, 1992.
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