High-speed optoelectric image processing unit for industrial inspection

摘要

In this paper a High-speed Opto-electric Image Processing Unit (HSOEIPU) based on an incoherent correlator is constructed, which can do two main processing works. One is digital filtering; the other is object recognition. Using HSOEIPU a Lapalace filter is realized to extract the edge characteristic from the images. Then the preprocessed images are sent into the object recognition unit for identifying the important areas or targets. A novel template-matching method is proposed for gray-tone image recognition. A changeable cycle-encoding method is introduced to realize the fuzzy relation pixel-matching on a correlator structure. The system has good fault-tolerance ability for rotation distortion, gaussian noise disturbance or information losing. In the experiments photographs of workpieces are sent into HSOEIPU for processing.