Abstract
In this paper we present a new local distance transformation adapted to rectangular grids. This situation occurs with most industrial vision systems. Such operators allow Euclidean distance transform images to be approximated by using only local operations. These operators are optimized in the context of minimizing the maximum error over circular trajectories. The formulas of the coefficients as a function of the pixel width are given in the case of a 5 × 5 neighborhood. Experimental results and comparisons with other distance operators are then presented.
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