Search

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.

The CC-banyan network represents a large class of nonequivalent multistage interconnection networks. The optical implementation of a regular rectangular CC-banyan network, which is based on polarizing beam splitters and 1D liquid crystal spatial light modulators, is proposed and demonstrated, and its corresponding routing control for a path between any (S, D) pair is given. It possesses a low energy loss, a high signal-to-noise ratio and an available large number of optical channels.

A ready-assemble and parallel polarization-optical logic processor is developed, which is based on the birefraction of uniaxial crystals. The suggested processor is a stacked integration of calcite plates for beam splitting and combination and polarization rotators for polarization direction control. All 16 logic functions of two input patterns can be implemented by customizing a control panel. It is compact in structure, effective in performance and insensitive to environmental influences.