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Optimizing Euclidian distance transform values by number theory
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Paper Abstract

In this paper we study the number of Euclidean distance transform values. We show that there is (from the number- theoretic point of view) a high redundancy in the number of different Euclidean distance values. Our number-theoretic approach allows us to give an approximation of the number of algebraic independent transform values. This can be used to optimize the future hardware implementation.

Paper Details

Date Published: 8 May 2001
PDF: 9 pages
Proc. SPIE 4304, Nonlinear Image Processing and Pattern Analysis XII, (8 May 2001); doi: 10.1117/12.424987
Show Author Affiliations
Reiner Creutzburg, Univ. of Applied Sciences and Tampere Univ. of Technology (Germany)
Jarmo Takala, Tampere Univ. of Technology (Finland)

Published in SPIE Proceedings Vol. 4304:
Nonlinear Image Processing and Pattern Analysis XII
Edward R. Dougherty; Jaakko T. Astola, Editor(s)

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