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<p>A massively parallel architecture called TOSCA (tokens sending cellular automation) is presented that performs edge pixel detection and skeletonization in the image processing area. Each cell of this cellular automaton has a very reduced set of instructions and a very small amount of memory. The computation is based on token propagation, counting devices, and local processing. The skeletonization method is based on the Chamfer distance.</p>
computerised pattern recognition; boundary detection; skeletonization; massively parallel architecture; TOSCA; edge pixel detection; cellular automaton; token propagation; counting devices; local processing; Chamfer distance; computerised pattern recognition; parallel architectures

T. de Saint Pierre and M. Milgram, "Boundary Detection and Skeletonization with a Massively Parallel Architecture," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 12, no. , pp. 74-78, 1990.
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