The model of a neural network visual preprocessor

The model of a neural network visual preprocessor

The model of a neural network visual preprocessor and a system architecture for visual information processing are proposed. The model of the preprocessor is based on the model of a visual cortex iso-orientation domain which is considered as a neural network with retinotopically organized afferent in...

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Veröffentlicht in:Neurocomputing (Amsterdam) 1992, Vol.4 (1), p.93-102
Hauptverfasser: Rybak, Ilya A, Shevtsova, Natalia A, Sandler, Vladislav M
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Sprache:eng
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inhibitory interneurons
visual information processing
Visual preprocessor
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creator Rybak, Ilya A
Shevtsova, Natalia A
Sandler, Vladislav M
description The model of a neural network visual preprocessor and a system architecture for visual information processing are proposed. The model of the preprocessor is based on the model of a visual cortex iso-orientation domain which is considered as a neural network with retinotopically organized afferent inputs and anisotropic lateral inhibition formed by feedback connections via inhibitory interneurons. The high-level system uses the preprocessor to process image fragments with different resolutions and to represent the image as a set of contour segments of different sizes.
doi_str_mv 10.1016/0925-2312(92)90047-S
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subjects inhibitory interneurons
visual information processing
Visual preprocessor
title The model of a neural network visual preprocessor
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