反之边缘定位精度可提升。

Contrarily, edge location precision was improved.

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采用平均一自适应联合的平滑算法，显著改善了边缘定位精度，其实质在于消噪和锐化边缘。

Test results show that average-adaptive smoothing operator can evidently improve location accuracy. The reason is that the combined smoothing operator can eliminate noise and make edge sharp.

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理论上，应用这样的多小波边缘提取算子提取图像的复合边缘可以有任意高的边缘定位精度。

Theoretically, based on this approach ones have the possibility of getting arbitrary precise localization for the edges that are composed of steps and pulse with wavelet transformation.

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