Bio-inspired computer vision based on neural networks

Authors:
M. Antón-Rodríguez;D. González-Ortega;F. J. Díaz-Pernas;M. Martínez-Zarzuela;I. Torre-Díez;D. Boto-Giralda;J. F. Díez-Higuera
Affiliations:
Higher School of Telecommunications Engineering, University of Valladolid, Valladolid, Spain;Higher School of Telecommunications Engineering, University of Valladolid, Valladolid, Spain;Higher School of Telecommunications Engineering, University of Valladolid, Valladolid, Spain;Higher School of Telecommunications Engineering, University of Valladolid, Valladolid, Spain;Higher School of Telecommunications Engineering, University of Valladolid, Valladolid, Spain;Higher School of Telecommunications Engineering, University of Valladolid, Valladolid, Spain;Higher School of Telecommunications Engineering, University of Valladolid, Valladolid, Spain
Venue:
Pattern Recognition and Image Analysis
Year:
2011

Citing 4
Cited 0

A massively parallel architecture for a self-organizing neural pattern recognition machine

Computer Vision, Graphics, and Image Processing
Synthetic aperture radar processing by a multiple scale neural system for boundary and surface representation

Neural Networks - Special issue: automatic target recognition
A neural network for enhancing boundaries and surfaces in synthetic aperture radar images

Neural Networks
Recognition of coloured and textured images through a multi-scale neural architecture with orientational filtering and chromatic diffusion

Neurocomputing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper is an extended abstract of a tutorial devoted to bio-inspired computer vision neural models. It includes a description of the Human Visual System, the BCS/FCS model, and neural architectures for color image segmentation and color and textured image recognition.