This article considers principles of construction of a multichannel technical vision system using cellular automata. Based on the proposed concept of a geometric type, images invariant to rotations, scaling, and dynamic changes are recognized. Methods based on cellular technologies are proposed for the construction of geometric-type images.

Principles of implementation of cellular automata with hexagonal coverage are considered as applied to pattern recognition and image processing based on the Radon transform. Software and hardware implementations of the developed structure are simulated in the Active-HDL environment. The results of finding straight lines and segments and also of image recognition are presented.

This paper considers a method of image recognition, which is produced by the transformation of the object into a set of functions representing the area of intersection of the figure and its copy at its shift in one direction. The object of this research is image shapes of individual objects in the visual picture. The efficiency of different methods of optical image recognition has been conducted depending on the scale and rotation angle.

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This article describes basic methods that are required to build a system of machine vision which based on parallel shift technology. The methods are based on the implementation of one operation (definition function of the area of intersection of the real image and its copy which parallel shifted) and analysis of its basic characteristics. Analysis of time intervals obtained characteristics improves the performance of image recognition. The methods are based on simple mathematical operations and can be used in the processing of both raster and non-raster images.