3D Block-Based Medial Axis Transform and Chessboard Distance Transform on the CREW PRAM
ICA3PP '08 Proceedings of the 8th international conference on Algorithms and Architectures for Parallel Processing
3D block-based medial axis transform and chessboard distance transform based on dominance
Image and Vision Computing
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In this paper, we present a constant time algorithm for solving three dimensional block-based medial axis transform (3D BB-MAT, for short) on the array with reconfigurable optical buses (AROB). The main contribution of this work is to exploit the dominance counting method for solving the 3D BB-MAT that was never done previously in the literature. With the advantages of both optical transmission and electronic computation on the AROB model, the constant algorithm is proposed for the medial axis transform of a 3D N x Nx N binary image on a 4D AROB using N^4 processors. To the best of our knowledge, this presented result of the dominance counting technique for medial axis transform of block-based is the best O(1) time algorithm known.