网络摄像机测量图像的新概念

Wang Min, Huang Zhan-hua
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引用次数: 2

摘要

本文设计了一种可用于汽车制造系统的事件触发无损读出工业智能相机(ETNDRIIC)。ETNDRIIC的主要硬件包括DSP、FPGA、CMOS和DM9000。采用FPGA作为DSP和CMOS之间的接口,使得ETNDRIIC易于支持具有不同驱动过程的不同图像传感器。该系统采用了一种新的优化算法——受限拉普拉斯锐化算法,并在DSP上实现。该算法有效地抑制了图像中的噪声,处理后的图像边缘清晰,还能观察到图像的细节。集成以太网接口,实现远距离图像传输。对于需要更多图像信息的复杂汽车制造系统来说,利用摄像机构建网络更为方便。实践证明,ETNDRIIC是一种能够采集工业图像进行测量的先进设备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New concepts of network camera for measuring images
This paper designs an event triggered and non-destructive readout industrial intelligent camera (ETNDRIIC) that can be used in auto manufacturing systems. The main hardware of an ETNDRIIC includes DSP, FPGA, CMOS, and DM9000. FPGA is used as an interface between DSP and CMOS, and it is easy for an ETNDRIIC to support different image sensors with different driven processes. In this system, a new, optimized algorithm, a restricted Laplacian sharpening algorithm, is adopted and is realized in DSP. The noise of image is depressed effectively through the algorithm and edges of the image after processing the images is distinct, the details are also obeserved. The ethernet interface is integrated to implement a long-distance image transmission. It is more convenient to build a network with the camera for any complex auto manufacturing systems, which need more image information. It is proved that an ETNDRIIC is an advanced piece of equipment that is able to gather industry images for measuring.
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