A computerized characterization method for the yarn snarling distribution was proposed by applying the digital image and signal processing techniques to the actual yarn snarling images.

结合数字图像和信号处理技术，提出了一种基于纱线图像的扭结分布特征的自动识别方法。

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Video, signal processing, image storing, encoding and decoding techniques are used for time-share analog switching and splicing of multi-channel video signals.

本发明采用视频技术、信号处理技术、图象存贮技术及编解码技术等对多路视频信号作时分模拟切换与拼接。

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