A Neighbor-finding Algorithm for Bincode-based Images on Reconfigurable Meshes.

Comput. J 01/2000; 43:315-324. DOI: 10.1093/comjnl/43.4.315
Source: DBLP

ABSTRACT Using bincodes to represent binary images is a storage-saving encoding scheme. Finding neighbors is one of the most important operations in spatial data structures. This paper presents an efficient parallel algorithm for solving the problem of neighbor-finding for a bincode-based binary image. Given a set of the bincodes of n blocks, the neighbor-finding algorithm can be accomplished in O(1)-time on an n 1/2 ×n 1/2 ×n 1/2 reconfigurable mesh. Under the same time bound, i.e. constant time, the number of processors used in the proposed parallel algorithm is O(n 3/2 ) and is less than that of the previous fastest one on a mesh with multiple broadcasting buses which needs O(n 2 ) processors.

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