Optimizing Euclidian distance transform values by number theory

Reiner Creutzburg; Jarmo Takala

doi:10.1117/12.424987

8 May 2001 Optimizing Euclidian distance transform values by number theory

Reiner Creutzburg, Jarmo Takala

Proceedings Volume 4304, Nonlinear Image Processing and Pattern Analysis XII; (2001) https://doi.org/10.1117/12.424987
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

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.

Citation Download Citation

Reiner Creutzburg and Jarmo Takala "Optimizing Euclidian distance transform values by number theory", Proc. SPIE 4304, Nonlinear Image Processing and Pattern Analysis XII, (8 May 2001); https://doi.org/10.1117/12.424987

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