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Journal of Zhejiang University SCIENCE A 2009 Vol.10 No.7 P.1018-1028


Integrated phase unwrapping algorithm for the measurement of 3D shapes by Fourier transform profilometry

Author(s):  Shuang-qing WU, Yin ZHANG, San-yuan ZHANG, Xiu-zi YE

Affiliation(s):  School of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   wsqing1999@163.com, yinzh@cs.zju.edu.cn

Key Words:  Fourier-transform profilometry (FTP), Phase unwrapping, Residues, Blocking-lines, Laplacian of Gaussian, Modulation intensity

Shuang-qing WU, Yin ZHANG, San-yuan ZHANG, Xiu-zi YE. Integrated phase unwrapping algorithm for the measurement of 3D shapes by Fourier transform profilometry[J]. Journal of Zhejiang University Science A, 2009, 10(7): 1018-1028.

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T1 - Integrated phase unwrapping algorithm for the measurement of 3D shapes by Fourier transform profilometry
A1 - Shuang-qing WU
A1 - Yin ZHANG
A1 - San-yuan ZHANG
A1 - Xiu-zi YE
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A0820630

An integrated and reliable phase unwrapping algorithm is proposed based on residues and blocking-lines detection, closed contour extraction and quality map ordering for the measurement of 3D shapes by fourier-transform profilometry (FTP). The proposed algorithm first detects the residues on the wrapped phase image, applies wavelet analysis to generate the blocking-lines that can just connect the residues of opposite polarity, then carries out the morphology operation to extract the closed contour of the shape, and finally uses the modulation intensity information and the laplacian of Gaussian operation of the wrapped phase image as the quality map. The unwrapping process is completed from a region of high reliability to that of low reliability and the blocking-lines can prevent the phase error propagation effectively. Furthermore, by using the extracted closed contour to exclude the invalid areas from the phase unwrapping process, the algorithm becomes more efficient. The experiment shows the effectiveness of the new algorithm.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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