通过改变小波变换的尺度，可以将边缘与噪声区分开来，减小图像分割中噪声带来的影响，有利于提高分割的准确性。

The image edge and noise can be distinguished by changing scale of wavelet transform, and the adverse effect noise is able to be reduced. It is benefit to improve the accuracy of segment.

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该值的重要意义在于你通常只想场景中一些高频率地方（即图片中的噪声区域）产生散景效果，否则他们将几乎无法看见。

The significance of this is that you usually only need bokeh shapes in areas of high frequency (ie, cluttered or "noisy" areas of image) since they are otherwise nearly invisible.

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然后采用区域统计、参数识别、噪声区域去除以及聚类分析等手段进行目标特征识别，提取出棒材的质心点坐标作为特征；

Object centroid as the features was computed by means of regional statistics, parameter recognition, noise region removal and cluster analysis.

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