Machine Vision System Based on the Parallel Shift Technology and Multiple Image Analysis

Stepan Belan, Sergey Yuzhakov


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.

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Computer and Information Science   ISSN 1913-8989 (Print)   ISSN 1913-8997 (Online)
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