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TWO ALGORITHMS FOR COMPUTING THE EUCLIDEAN DISTANCE TRANSFORM

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Author
Gavrilova, Marina
Alsuwaiyel, Muhammad H.
Accessioned
2008-02-26T20:32:48Z
Available
2008-02-26T20:32:48Z
Computerscience
2000-06-20
Issued
2000-06-20
Subject
Computer Science
Type
unknown
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Abstract
Given an n x n binary image of white and black pixels, we present two algorithms for computing the distance transform and the nearest feature transform using the Euclidean metric. The first algorithm is a fast sequentioal O (n) time algorithm. The second is an optimal O (n) time parallel algorithm that runs on a linear array of n processors.
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University of Calgary
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Science
Doi
http://dx.doi.org/10.11575/PRISM/30621
Uri
http://hdl.handle.net/1880/45485
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