Abstract
In this work, a practical implementation of two parallel thinning algorithms on a multicomputer system are described. The solution has been conceived for a multiprocessor using the SPMD (single program multiple data) programming model. Our main goal is intended to describe our experiences on data partition/distribution among processors for parallel thinning algorithms as a representative type of algorithm where communications take place between neighbor processors and the work load for each processor depends on the input data. It will be shown how the efficiency of the parallel implementation can be improved through the application of a preprocess. This preprocess is based on the analysis of the work load balance. An analysis of the communication cost is also made. Although the results shown here are concerned with the implementations of two parallel thinning algorithms we think that our proposal about data distribution is general and useful for a wide set of algorithms in the field of image processing. Copyright © 2000 John Wiley & Sons, Ltd.
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