Analog VLSI cellular fuzzy automata networks for relaxation labeling

Expressing with fuzzy logic the local transition functions of a cellular automata network combines the flexibility of numeric processing with the explicitness and transparency of logic rules, within the framework of an emergent-cooperative computational model. Implementing fuzzy processing elements as the nodes of such nets places heavy emphasis on fine granularity, and is feasible only in analog if it is aimed to achieve the degree of parallelism matched to potential applications in image processing. Fuzzy relaxation labelling is presented as a feasibility example for such a streamlined hardware implementation. This computational model is potentially applicable in a wide range of applications, drawing maximal benefit from advanced VLSI technologies