Abstract
Image algebra is a powerful algebraic language for image processing. The most powerful tools of image algebra are three basic image-template operations: the generalized convolution, the additive maximum, and the multiplicative maximum. In this paper, these operations on real value images with translation invariant templates are proposed to be implemented by an optoelectronic architecture. The architecture is of two layers: a multi-imaging-threshold layer and a correlating layer. A two-rail spatial intensity coding method is obtained for real numbers' computation. Experiment result on 1D images is demonstrated, too.
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