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Boundary Detection and Skeletonization with a Massively Parallel Architecture
January 1990 (vol. 12 no. 1)
pp. 74-78

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.

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Index Terms:
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
Citation:
M. Milgram, T. de Saint Pierre, "Boundary Detection and Skeletonization with a Massively Parallel Architecture," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, no. 1, pp. 74-78, Jan. 1990, doi:10.1109/34.41385
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