МЕТОД ИТЕРАЦИОННОГО СОВМЕЩЕНИЯ ТЕЛЕВИЗИОННЫХ СИГНАЛОВ В ИЗМЕРИТЕЛЬНЫХ СИСТЕМАХ ТЕХНИЧЕСКОГО ЗРЕНИЯ

Abstract

Measuring systems of machine vision have become widely used in solving technical problems. The operating conditions of such machine vision systems are very aggressive: precipitation, dirt, dust, a wide temperature range, etc. Despite the equipment is work, measuring systems lose the data in such conditions. Data loss leads to measurement distortions and an increase in the probability of false positive of the object detection. Such situations are an urgent problem for organizations operating measurement systems of machine vision. The repeating measurements are necessary for restoring the data. But it leads to waste the time, labor and financial costs. In some cases, data loss poses a potential threat to the safety of people's lives and equipment. Various types of measuring systems of machine vision generate various television signals: one-dimensional signals, profiles and images. A method has been developed that allows superposition different types of television signals of machine vision measuring systems for data recovery. The tests have shown that method makes improving the reliability of the measurements.