Denoising algorithm of displacement estimation based on phase difference of Fourier transform
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Denoising algorithm of displacement estimation based on phase difference of Fourier transform
Optics and Precision EngineeringVol. 15, Issue 7, Pages: 1137-1142(2007)
作者机构:
1. 中国科学院 长春光学精密机械与物理研究所,吉林 长春,中国,130033
2. 中国科学院 研究生院,北京 100039
作者简介:
基金信息:
DOI:
CLC:TP391.4
Received:22 April 2007,
Revised:09 May 2007,
Published Online:30 July 2007,
Published:30 July 2007
稿件说明:
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WU Yuan-hao, YU Qian-yang. Denoising algorithm of displacement estimation based on phase difference of Fourier transform[J]. Optics and precision engineering, 2007, 15(7): 1137-1142.
DOI:
WU Yuan-hao, YU Qian-yang. Denoising algorithm of displacement estimation based on phase difference of Fourier transform[J]. Optics and precision engineering, 2007, 15(7): 1137-1142.DOI:
Denoising algorithm of displacement estimation based on phase difference of Fourier transform
A robust denoising algorithm for estimating the displacement of a moving target based on the phase difference of Fourier transform phase spectrum is presented. According to shift theorem of Fourier transform
the algorithm employs the phase spectrum difference in polar coordinates of the sequence of two frame images of a moving target to search displacement through detecting the period of the phase spectrum difference or computing the slope of its section. The vectorial filtering is used to reduce noise and keep the period characteristic
and the sectional fitting is used to compute the displacement of the slope. The experimental results show that the algorithm can give the displacement of moving target with the accuracy of 1 pixel.
Multi-regularization image restoration method for X-ray images of integrated circuit
Measuring multi-surface shape by Fourier transform
Detection of periodic microstructure defect based on optical Fourier transform
Optical element test with multiple surface interference
Test and evaluation of wavefront phase of point diffraction
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Related Institution
School of Mechanical and Electrical Engineering, Guangzhou University
College of Electronic Information, Hangzhou Dianzi University
Beijing Key Laboratory of Optoelectronic Test Technology, Beijing Information Science & Technology University
School of Electronic and Optical Engineering, Nanjing University of Science and Technology2. Research Center of Laser Fusion, China Academy of Engineering Physics
Changchun Institute of Optics, Fine Mechanics and Physic, Chinese Academy of Sciences