首页|基于VMD方法的混凝土缺陷超声成像噪声处理研究

基于VMD方法的混凝土缺陷超声成像噪声处理研究

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时间反演多信号分类(TR-MUSIC)算法进行混凝土结构缺陷超声成像,能够在激励超声频率不改变,保证探测深度的情况下,打破衍射限制,实现超分辨率成像;但此方法的缺点是极易受到噪声的干扰,在成像划分信号子空间与噪声子空间过程,产生附加奇异值,影响超声成像的精度和准确性;为进一步提高TR-MUSIC超声成像的质量和稳定性,抑制噪声对成像的干扰,提出一种基于变模态分解(VMD)的噪声处理方式,该方法首先对VMD分解后的变模态分量采用能量熵和重心熵结合的方式来确定信号频谱形态发散和能量分布不均的噪声分量,对噪声分量采用小波阈值降噪方法处理,然后将降噪后的噪声分量和其他分量进行最小二乘平滑滤波并重构;改善后的信号进行反演成像,提高了信号子空间和噪声子空间对应奇异值大小的区分度,再通过设定阈值方式进行划分,提高了成像分辨率,抑制了由噪声引起的伪像问题。
Research on Ultrasonic Imaging Noise Processing of Concrete Defects Based on VMD Method
Time inversion multi-signal classification(TR-MUSIC)algorithm for ultrasonic imaging of concrete structures with de-fects can break the diffraction limit and realize super resolution imaging,with the excitation frequency unchanged and the detection distance guaranteed;However,it has a disadvantage to be easily disturbed by noise,and generate additional singular values in the process of imaging division signal subspace and noise subspace,which affects the accuracy and precision of ultrasonic imaging;In or-der to further improve the quality and stability of the TR-MUSIC algorithm in ultrasonic imaging and suppress the interference of noise,a noise processing method based on variable mode decomposition(VMD)is proposed;Firstly,the variable mode component af-ter the VMD decomposition is determined by combining energy entropy and barycentric entropy to determine the noise component of signal spectrum divergence and uneven energy distribution.Then,the noise components are processed by wavelet threshold denoising method,and the noise components and other components were processed and reconstructed by the Savitzky-Golay filtering.The inver-sion imaging of the improved signal achieves the distinction of the corresponding singular values of the signal subspace and noise sub-space.Finally,the results show through the setting thresholds,the proposed method improves the imaging resolution,and suppres-ses the artifacts caused by noise.

ultrasonic imagingvariable mode decompositionconcretenoise reductionsingular valueentropy of center of grav-ityenergy entropy

庄政、任宏伟、田博文、郑元成、路乾

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济南大学 自动化与电气工程学院,济南 250024

超声成像 变模态分解 混凝土 降噪 奇异值 重心熵 能量熵

2024

计算机测量与控制
中国计算机自动测量与控制技术协会

计算机测量与控制

CSTPCD
影响因子:0.546
ISSN:1671-4598
年,卷(期):2024.32(3)
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