Image Processing and Pattern Recognition Based on Artificial Models of the Structure and Function of the Retina

Image Processing and Pattern Recognition Based on Artificial Models of the Structure and Function of the Retina

Mykola Bilan
Copyright: © 2020 |Pages: 14
DOI: 10.4018/978-1-7998-1290-6.ch014
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Abstract

The chapter considers principles of construction of retina of the eye. It proposed a system recognition of complex images that models the structure of the retina and the signals at its output. The system is capable of recognizing images and creating new classes. The time impulse description method of images using cellular automata is considered. Images are described by pulse sequences that are created with the help of specially organized cellular automata. The system allows the authors to recognize images of complex shape, which can have an arbitrary location in the field of the visual scene and can have a different scale.
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Biological Peculiarities Of The Image Description

The retina in the adult has a size of about 22 mm (Roska, & Molnar, 2006; Gladilin, & Lebedev, 2005; Savelyeva-Novoselova, & Savelyev, 2009). It consists of three radially disposed layers of nerve cells and synapses two layers. Simplified diagram of the retina looks as in the fig. 1.

Figure 1.

A simplified model of the structure of the retina.

978-1-7998-1290-6.ch014.f01

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