ARRAY ARCHITECTURES FOR ICONIC AND SYMBOLIC IMAGE PROCESSING
T. J. Fountain · International Journal of Pattern Recognition and Artificial Intelligence · 1988
Three architectures of current interest—the pyramid, the linear array and the n-cube—are examined in relation to their ability to perform iconic and symbolic image processing. For each architecture an appropriate problem is identified and a matching implementation selected. An assessment of the characteristics of each implementation is given, together with an estimation of the performance on a number of fundamental operations. The relative merits of the designs are discussed but it is concluded that the success of a particular architecture depends crucially upon the type of application which is addressed, and that therefore no universally applicable ranking can be derived in the absence of a comprehensive benchmarking exercise.