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Research of Machine Visual Image Processing Based on Wavelet Analysis

机译:基于小波分析的机器视觉图像处理研究

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Wavelet analysis, which has been advancing recent years, is a new method of image processing, especially in the field of machine visual image processing and analysis. As a tool, wavelet analysis can be applied to image denoising, image decomposing, image compressing, image enhancing and image fusion. It can also act on the image processing in boundary inspection and dynamic analysis.As a result, the information which we need was distilled from the visual image, and then we can identify or monitor it. In this paper, characteristics and development of wavelet transform theory is analyzed.Directions and methods of machine visual image processing based on wavelet analysis are summarized.In addition, the matters that should attach importance to are indicated. In a word, the wavelet analysis has an enormous potential in the field of machine visual image processing.
机译:近年来不断发展的小波分析是一种新的图像处理方法,特别是在机器视觉图像处理和分析领域。作为一种工具,小波分析可以应用于图像去噪,图像分解,图像压缩,图像增强和图像融合。它还可以在边界检查和动态分析中作用于图像处理。结果,我们从视觉图像中提取了所需的信息,然后我们可以对其进行识别或监视。本文分析了小波变换理论的特点和发展,总结了基于小波分析的机器视觉图像处理的方向和方法,并指出了应注意的事项。总之,小波分析在机器视觉图像处理领域具有巨大的潜力。

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