This paper describes a new parallel algorithm for Euclidean Distance Transform on the Polymorphic Processor Array, a massively parallel architecture based on a reconfigurable mesh interconnection network. The proposed algorithm has been implemented using the Polymorphic Parallel C language and has been validated through simulation, its computational complexity is O(N) (worst case) for pictures of NxN pixels on a Polymorphic Processor Array of NxN processing elements.

Euclidean distance transform on polymorphic processor array

MIGLIARDI, MAURO
1995

Abstract

This paper describes a new parallel algorithm for Euclidean Distance Transform on the Polymorphic Processor Array, a massively parallel architecture based on a reconfigurable mesh interconnection network. The proposed algorithm has been implemented using the Polymorphic Parallel C language and has been validated through simulation, its computational complexity is O(N) (worst case) for pictures of NxN pixels on a Polymorphic Processor Array of NxN processing elements.
1995
Proceedings of the Conference on Computer Architectures for Machine Perception, CAMP'95
Conference on Computer Architectures for Machine Perception
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3193032
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