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A High Speed and Low Cost Data and Image Processing System using DSP TMS320C25 and an IBM-PC

机译:使用DSP TMS320C25和IBM-PC的高速,低成本数据和图像处理系统

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摘要

As one of the important tools of NDE, imaging technology provides fast, intuitive, and reliable diagnostic information for various research and industrial NDE applications. While as digital computer and electronic technologies bloom, a large number of advanced imaging systems as well as digital image processing algorithms have been successfully developed in the last two decades. These devices and algorithms have been adapted for NDE applications. A high quality NDE image obtained by an imaging system provides the visible information of the material structure. However, qualities of NDE images are often limited by some factors such as noise and unsharpness, incomplete data and information loss, sensitivities of the sensors and capability of the devices [1, 2, 3]. Many image processing methods can be applied to increase reliability of the images and to analyze the images. These methods includes image transform, reconstruction, enhancement, restoration, and feature extraction. The references of these methods can be readily found in many textbooks and research journals and we try not to do an exhaustive list in here. To have a quick review of different image processing techniques, one may find useful a recent review paper by Demoment [4] and the textbook written by Gonzalez and Wintz [5].
机译:作为NDE的重要工具之一,成像技术可为各种研究和工业NDE应用提供快速,直观和可靠的诊断信息。在数字计算机和电子技术蓬勃发展的同时,近二十年来已成功开发了许多先进的成像系统以及数字图像处理算法。这些设备和算法已针对NDE应用进行了修改。通过成像系统获得的高质量NDE图像提供了材料结构的可见信息。但是,NDE图像的质量通常受到某些因素的限制,例如噪声和不清晰,数据和信息丢失,传感器的灵敏度以及设备的功能[1、2、3]。可以应用许多图像处理方法来增加图像的可靠性并分析图像。这些方法包括图像变换,重建,增强,还原和特征提取。这些方法的参考资料可以在许多教科书和研究期刊中找到,我们在此不做详尽列出。为了快速回顾不同的图像处理技术,可以发现由Demoment [4]和Gonzalez和Wintz撰写的教科书[5]撰写的近期回顾论文很有用。

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