New algorithms for euclidean distance transformation of an n-dimensional digitized picture with applications

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In this paper, we propose a new method to obtain the Euclidean distance transformation and the Voronoi diagram based on the exact Euclidean metric for an n-dimensional picture. We present four algorithms to perform the transformation which are constructed by the serial composition of n-dimensional filters. When performed by a general purpose computer, they are faster than the method by H. Yamada for a two-dimensional picture. Those algorithms require only one n-dimensional array for storing input/output pictures and a single one-dimensional array for a work area, if an input picture needs not be preserved.

论文关键词:Image processing,Distance transformation,Euclidean distance,Three-dimension,Voronoi diagram

论文评审过程:Received 1 April 1993, Revised 25 April 1994, Accepted 7 May 1994, Available online 19 May 2003.

论文官网地址:https://doi.org/10.1016/0031-3203(94)90133-3