International Journal of Parallel Programming
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Parallel processing methods are an attractive means to achieve significant speedup of computationally expensive image understanding algorithms, such as those applied to range images. Mixed-mode parallel systems are ideally suited to this area because of the flexibility in using the different modes of parallelism. The trade-offs of using different parallel modes are examined through the implementation of hybrid range segmentation operations, characteristic of a broad class of low level image processing algorithms. Alternative means of distributing data among the processing elements that achieve improved performance are considered. Results comparing different implementations on a single reconfigurable parallel processor. PASM, indicate some generally applicable guidelines for the effective parallelization of vision algorithms.