Journal of Experiental Mechanicals

加窗傅里叶滤波和相干增强扩散在条纹去噪中的比较分析

Comparison of Windowed Fourier Filtering and Coherence Enhancing Diffusion for Fringe Pattern Denoising

Received:May 11, 2017 Revised:August 02, 2017

英文关键词:fringe pattern coherence enhancing diffusion windowed Fourier filtering

基金项目:国家自然科学基金(61602414)

Author Name	Affiliation
WANG Hai-xia*	College of Information Engineering, Zhejiang University of Technology, Hangzhou 310014, China
PENG Rou	College of Information Engineering, Zhejiang University of Technology, Hangzhou 310014, China
QIAN Ke-mao*	School of Computer Science and Engineering, Nanyang Technological University, Singapore, 639798

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中文摘要:

光学干涉测量具有非接触、高精度和全场测量的优点，能对形变、折射率、位移等信息进行测量。噪声滤除是光学干涉测量产生的条纹图像处理的一个关键问题。加窗傅里叶滤波(Windowed Fourier Filtering, WFF)与自适应加窗傅里叶滤波(Adaptive Windowed Fourier Filtering,AWFF)是有效的频域去噪算法。相干增强扩散(Coherence Enhancing Diffusion, CED)则是基于偏微分方程的空域去噪算法。针对条纹去噪问题，比较了WFF、 AWFF和CED在不同密度和不同噪声类型的条纹图上的表现，分析了它们的适用条纹类型。

英文摘要:

Optical interferometry has the advantages of non-contact, high accuracy and full field measurement. Fringe patterns produced by various optical interferometric techniques encode the information of deformation, refractive index, vibration, etc. Noise is one of the key problems affecting fringe pattern processing. Windowed Fourier filtering (WFF) and adaptive windowed Fourier filtering (AWFF) are effective frequency domain denoising methods. Coherence enhancing diffusion (CED) is a spatial domain denoising method based on partial differential equation (PDE). In this paper, the performances of WFF, AWFF and CED are compared by applying them to fringe patterns with different frequencies and different noise types. Applicable types of fringe pattern for WFF, AWFF and CED are identified respectively.

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