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Scale-space and multi-resolution techniques for outlier analysis in surface metrology

机译:表面计量中的异常间分析的规模空间和多分辨率技术

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This paper has demonstrated the use of morphological filters and wavelets for outlier analysis. While multi-resolution analysis partitions a signal into many bands with very high computational speeds, scale-space approach is computationally expensive. Faster algorithms are available for line structuring elements that enhance speed considerably. Scale-space seems to provide better valley separation with limited edge effects along the valleys.
机译:本文证明了使用形态过滤器和小波进行异常分析。虽然多分辨率分析将信号分区为具有非常高的计算速度的许多频段,但刻度空间方法是计算昂贵的。更快的算法可用于线路结构化元素,可显着增强速度。尺度空间似乎提供更好的谷谷分离,沿着山谷的边缘效果有限。

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