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Optoelectronic retinas that perform stochastic global optimization

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Abstract

In low-level image processing many problems, such as edge detection, segmentation, and halftoning, can be formulated in terms of an energy minimization. When dedicated hardware, namely artificial retinas, are built to perform such tasks at a video rate, only deterministic suboptimal minimization on a limited class of energy functions is usually carried out. We suggest that a suitable combination of speckle and microelectronics permits the design of stochastic decision-making elements that are able to perform simulated annealing with minimum electronics. Once massively integrated on very-large-scale integrated circuits, these elements provide video-rate simulated annealing for an extended class of energy functions. This proposition suggests a novel computational strategy for implementing low-level image-processing tasks.

© 1993 Optical Society of America

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