Photo stimulated and controlled imaging neural network

Image analysis – Histogram processing – For setting a threshold

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395 25, 382 15, G06F 1562

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active

052553620

ABSTRACT:
A photo stimulated and controlled imaging neural network for providing self generating learning sets and associative memory and programmability. An image to be recognized or detected is transferred to an imaging plane, which can be as simple as a lens or as complicated as a cathode ray tube. The imaging plane whose contents forms the input for a photo receptor array transfers the stimulus from the object to the photoreceptor array. The photoreceptor array responds to the stimulus provided by the imaging plane with various couplings between an array of neuron amplifiers. The photo receptor array comprises a plurality of synaptic photo controlled resistors which respond to the stimulus provided by the imaging plane. The individual neuron amplifiers settle into a set of on or off binary states based on the couplings of the photo controlled resistors which comprise the receptor array. The output states are equally weighted and as a whole constitute a particular learning set which is then passed onto a gate array where it can be utilized to make various decisions.

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