Research on Image Denoising for On-Line Wear Debris Monitoring

W. Cao, Dong Wang, Han Zhang, Zhenyu Gou
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引用次数: 2

Abstract

Based on the planetary gearbox condition monitoring experimental platform, this paper proposes an organic algorithm for wavelet algorithm, two-dimensional variational mode decomposition and median filtering for the image information of abrasive particles collected during on-line oil wear debris monitoring. Combined denoising algorithm, Through the experiment of the wear debris image and comparison with other algorithms, it is proved that the algorithm of this paper can have a good denoising effect on the wear debris image, and ensure the edge and detail of the image to obtain better visual effect.
磨粒在线监测图像去噪研究
基于行星齿轮箱状态监测实验平台,提出了一种基于小波算法、二维变分模态分解和中值滤波的磨粒在线监测图像信息有机算法。结合去噪算法,通过对磨损碎片图像的实验以及与其他算法的对比,证明本文算法对磨损碎片图像具有良好的去噪效果,保证图像的边缘和细节得到更好的视觉效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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