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High-speed hough transform processor and its applications to automatic inspection and measurement

机译:高速霍夫变换处理器及其在自动检查和测量中的应用

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We have developed a processor with dedicated hardware for performing high-speed Hough transforms, to enable real time inspection and measurement of linear boundaries in gray scale images. The Hough transform method for recognition can cope effectively with noisy backgrounds and gaps in boundaries. However, long computation time and large memory requirements have been preventing it from being used in real time applications. This paper presents an architecture devised to solve those problems. It also provides examples of application to automatic inspection and measurement of objects in factories and laboratories. It took less than one second from picture input to straight line parameter reproduction for these examples.
机译:我们开发了一种带有专用硬件的处理器,用于执行高速霍夫变换,从而可以实时检查和测量灰度图像中的线性边界。霍夫变换的识别方法可以有效地应对嘈杂的背景和边界中的空白。但是,较长的计算时间和较大的内存要求已阻止了它在实时应用程序中的使用。本文提出了一种旨在解决这些问题的体系结构。它还提供了在工厂和实验室中对象的自动检查和测量中应用的示例。在这些示例中,从图片输入到直线参数再现花费了不到一秒钟的时间。

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