Industrial image processing by means of an image recognition integrated system

Eric Persoon, Geert Nijholt, G. Maguire, John O'Brien
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引用次数: 5

Abstract

An overview of the requirements for industrial applications of computer vision is given. A method called multilevel input binary template matching, which applies binary template matching to gray-level images, is presented. With this method, a vision system can be tailored to the difficulty of the individual computer-vision application while maintaining high speed and high reliability in all cases. A full custom VLSI specially designed for binary template matching is discussed. This dedicated VLSI chip, called IRIS, has a configurable kernel up to a size of 1024 elements for 1-D or up to 32*32 elements for 2-D, and has integrated line buffers. Some application examples from the field of industrial automation are presented.<>
一种基于图像识别的工业图像处理集成系统
概述了计算机视觉在工业应用中的要求。提出了一种将二值模板匹配应用于灰度图像的多级输入二值模板匹配方法。通过这种方法,视觉系统可以根据个人计算机视觉应用的难度进行定制,同时在所有情况下保持高速和高可靠性。讨论了专为二进制模板匹配而设计的全定制VLSI。这种专用的VLSI芯片称为IRIS,具有可配置的内核,其大小可达1024个一维元素或32*32个二维元素,并具有集成的线路缓冲区。给出了工业自动化领域的一些应用实例。
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