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Adaptive Multi-scale Edge Detection in the EMD Domain

机译:EMD域中的自适应多尺度边缘检测

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摘要

A multi-scale edge detection method in the empirical mode decomposition (EMD) domain using the consistent EMD method to decompose the reference noise to adaptively estimate the noise threshold is proposed to detect the edges of noisy signals with different signal to noise ratios. The new algorithm first calculates the slope of the EMD residuals in scales. Second, it eliminates the noise in the slope signal by thresholding, and the noise threshold is estimated according to the mean square value of the reference noise. At last, the edge information is output by the way of the spatial consistence test. Simulation results show that, the adaptive multi-scale edge detection method in the EMD domain can accurately detect the signal edges, and suppress the noise.
机译:提出了一种在经验模态分解(EMD)域中使用一致性EMD方法分解参考噪声以自适应估计噪声阈值的多尺度边缘检测方法,以检测具有不同信噪比的噪声信号的边缘。新算法首先按比例计算EMD残差的斜率。其次,通过阈值消除斜率信号中的噪声,并根据参考噪声的均方值估算噪声阈值。最后,通过空间一致性测试输出边缘信息。仿真结果表明,EMD域中的自适应多尺度边缘检测方法可以准确检测信号边缘,并抑制噪声。

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