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于 2020-06-26 发布 文件大小:4984KB
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  随着生产和工艺的进步,人们对产品的质量要求越来越高,基于机器视觉的在线 检测系统成为一种重要的质量控制手段。本文对应用于宽幅面、高精度的基于分布式 机器视觉的产品表面缺陷在线检测理论与算法进行了研究,并在此基础上以印刷品和 浮法玻璃的缺陷检测为例,完成了模式产品和非模式产品的缺陷在线检测系统。(With the progress of production and technology, people are increasingly demanding high quality products, based on machine vision for online 检测 system into one kind of Zhong Yao quality Kongzhishouduan. This article applies to wide format, high-precision machine vision products based on distributed-line surface defect detection theory and algorithms are studied, and on this basis, and float glass in print defect detection, for example, completed a model of products and non-model product line defect detection system.)

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产品表面缺陷在线检测方法研究及系统实现.kdh,6484348,2010-09-02

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