Journal article
The model of a neural network visual preprocessor
Neurocomputing (Amsterdam), v 4(1), pp 93-102
1992
Abstract
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.
Metrics
Details
- Title
- The model of a neural network visual preprocessor
- Creators
- Ilya A Rybak - Southern Federal UniversityNatalia A Shevtsova - Southern Federal UniversityVladislav M Sandler - Southern Federal University
- Publication Details
- Neurocomputing (Amsterdam), v 4(1), pp 93-102
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Neurobiology and Anatomy
- Web of Science ID
- WOS:A1992JD95000011
- Scopus ID
- 2-s2.0-0026816479
- Other Identifier
- 991019231748604721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence