DocumentCode :
1122440
Title :
Scalable and efficient parallel algorithms for Euclidean distance transform on the LARPBS model
Author :
Chen, Ling ; Pan, Yi ; Xu, Xiao-Hua
Author_Institution :
Dept. of Comput. Sci., Yangzhou Univ., China
Volume :
15
Issue :
11
fYear :
2004
Firstpage :
975
Lastpage :
982
Abstract :
A parallel algorithm for Euclidean distance transform (EDT) on linear array with reconfigurable pipeline bus system (LARPBS) is presented. For an image with n×n pixels, the algorithm can complete EDT transform in O(n log n/c(n) log d(n)) time using n·d(n)·c(n) processors, where c(n) and d(n) are parameters satisfying 1≤c(n)≤n, and 1ε, the algorithm can be completed in O(1) time using n2+ε processors. To the best of our knowledge, this is the most efficient constant-time EDT algorithm on LARPBS.
Keywords :
computational complexity; concurrency theory; image processing; parallel algorithms; parallel architectures; pipeline processing; reconfigurable architectures; system buses; Euclidean distance transform; LARPBS model; constant-time EDT algorithm; linear array; parallel EDT algorithms; reconfigurable pipeline bus system; time complexity; Computer Society; Computer science; Euclidean distance; Image analysis; Image processing; Optical arrays; Parallel algorithms; Phase change random access memory; Pipelines; Pixel; 65; Distance transform; image processing.; parallel algorithm;
fLanguage :
English
Journal_Title :
Parallel and Distributed Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9219
Type :
jour
DOI :
10.1109/TPDS.2004.71
Filename :
1339248
Link To Document :
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