Abstract:
Improving the computation efficiency is the key
issue in image processing, especially in edge detection,
because edge detection is very computationally
intensive. With the development of real-time image
processing application, fast processing response is
becoming the major requirement in this area. In this
paper, a parallel and distributed algorithm on Spiral
Architecture for edge detection using a uni-directional
MultiRing is proposed. The proposed algorithm is
based on Master-Slave model. It guarantees a better
load balancing among the processors (or nodes) and
greatly reduces the traffic from and to the master node.
It uses each MultiRing configuration more efficiently.
It also improves the performance for message passing
among the modes on the MultiRing.
