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Acta Cybernetica
Article . 2012 . Peer-reviewed
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Acta Cybernetica
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https://dx.doi.org/10.48550/ar...
Article . 2012
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Approximation of the Euclidean Distance by Chamfer Distances

Authors: András Hajdu; Lajos Hajdu; Robert Tijdeman;

Approximation of the Euclidean Distance by Chamfer Distances

Abstract

Chamfer distances play an important role in the theory of distance transforms. Though the determination of the exact Euclidean distance transform is also a well investigated area, the classical chamfering method based upon "small" neighborhoods still outperforms it e.g. in terms of computation time. In this paper we determine the best possible maximum relative error of chamfer distances under various boundary conditions. In each case some best approximating sequences are explicitly given. Further, because of possible practical interest, we give all best approximating sequences in case of small (i.e. 5 by 5 and 7 by 7) neighborhoods.

Preprint submitted to Acta Cybernetica, 20 pages

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Keywords

FOS: Computer and information sciences, 41A50, 68U10, Computer Science - Information Theory, Information Theory (cs.IT)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Top 10%
Average
Green
gold