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Proceedings Paper

Fast parallel Euclidean distance transformation in Zn
Author(s): Hinnik Eggers
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Paper Abstract

We introduce a new Euclidian distance transformation (EDT) for binary images in Zn, n >= 3 by combining our sufficient propagation EDT with the method of Saito and Toriwaki. Test in Z3 show that this new method is always faster than the well known EDTs and, especially, faster than the raster-scanning chamfer distance transformation. Moreover, we can efficiently implement it in parallel using a divide-and-conquer strategy.

Paper Details

Date Published: 20 October 1997
PDF: 8 pages
Proc. SPIE 3168, Vision Geometry VI, (20 October 1997); doi: 10.1117/12.279661
Show Author Affiliations
Hinnik Eggers, Univ. Hamburg (Germany)


Published in SPIE Proceedings Vol. 3168:
Vision Geometry VI
Robert A. Melter; Angela Y. Wu; Longin Jan Latecki, Editor(s)

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