Parallel Image Processing in a CSP-Environment: Performance Evaluation

The field of Computer Vision is characterized by the need of processing very large amounts of data in a time that, for many applications, is extremely short. Moreover, many of the algorithms proposed for solving the so called low level vision tasks exhibit a high degree of parallelism while, as far as one ascends to higher perception levels, it becomes evident the need to resort to complex reasoning schemes, where information derived from a variety of sophisticated computations, involving sequential processing, has to be combined with a knowledge base. In any case, all has to be performed fast enough to interact with the real world changes. Hence the demand for computer arrays whose structure reflects the problem’s structure, and for powerful tools that allow an optimal mapping of logical to physical architectures.