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A method for improving the precision of on-line phase measurement profilometry

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
An on-line phase measurement profilometry based on improved Stoilov’s algorithm is proposed to measure the 3D shape of moving object. While only one frame sinusoidal grating is projected on the moving object, the equal phase-shifting step deformed patterns modulated by profile of the measured object can be captured at every equivalent moving distance of the measured object instead of digital phase-shifting. Stoilov’s algorithm is an equal phase-shifting step algorithm at an arbitrary phase-shifting step, which is suitable for on-line phase measurement profilometry. However, the arbitrary phase-shifting step of Stoilov’s algorithm depends on the captured deformed patterns, in which the digitized errors of digital light projector or CCD camera, and the disturbance of surrounding light could be introduced, it will lead to some abnormities in wrapped phase, such as the denominator in Stoilov’s algorithm could be zero, which could cause the reconstructed 3D profile of the measured object appear burr, distortion or aberration, even could not be reconstructed. So an on-line phase measurement profilometry based on improved Stoilov’s algorithm is proposed. The arbitrary phase-shifting step is retrieved by both pixel matching and fringe cycle calibration rather than the captured deformed patterns. Experiments verify the feasibility and effectiveness of the proposed on-line phase measurement profilometry.
Czasopismo
Rocznik
Strony
51—61
Opis fizyczny
Bibliogr. 19 poz., rys.
Twórcy
autor
  • Department of Optoelectronics, Sichuan University, Chengdu, China, 610064
autor
  • Department of Optoelectronics, Sichuan University, Chengdu, China, 610064
autor
  • Department of Optoelectronics, Sichuan University, Chengdu, China, 610064
autor
  • Department of Optoelectronics, Sichuan University, Chengdu, China, 610064
Bibliografia
  • [1] QINGYANG WU, XIANYU SU, LIQUN XIANG, YUBAO LI, A new calibration method for two-sensor measurement system based on line-structure light, Chinese Journal of Lasers 34(2), 2007, pp. 259–264.
  • [2] CHEN F., BROWN G.M., SONG M., Overview of three-dimensional shape measurement using optical methods, Optical Engineering 39(1), 2000, pp. 10–22.
  • [3] YONEYAMA S., MORIMOTO Y., FUJIGAKI M., YABE M., Phase-measuring profilometry of moving object without phase-shifting device, Optics and Lasers in Engineering 40(3), 2003, pp. 153–161.
  • [4] YONGJIAN ZHU, ANHU LI, WEIQING PAN, Discussions on phase-reconstruction algorithms for 3D digitizing structure-light profilometry, Optik – International Journal for Light and Electron Optics 122(2), 2011, pp. 162–167.
  • [5] STOILOV G., DRAGOSTINOV T., Phase-stepping interferometry: five-frame algorithm with an arbitrary step, Optics and Lasers in Engineering 28(1), 1997, pp. 61–69.
  • [6] WU YINGCHUN, CAO YIPING, LU MINGTENG, LI KUN, An on-line phase measuring profilometry based on modulation, Optica Applicata 42(1), 2012, pp. 31–41.
  • [7] JIAHUI PAN, PEISHEN S. HUANG, FU-PEN CHIANG, Color phase-shifting technique for three-dimensional shape measurement, Optical Engineering 45(1), 2006, article 013602.
  • [8] BERRYMAN F., PYNSENT P., CUBILLO J., A theoretical comparison of three fringe analysis methods for determining the three-dimensional shape of an object in the presence of noise, Optics and Lasers in Engineering 39(1), 2003, pp. 35–30.
  • [9] FARRELL C.T., PLAYER M.A., Phase step measurement and variable step algorithms in phase-shifting interferometry, Measurement Science and Technology 3(10), 1992, pp. 953–958.
  • [10] BROPHY C.P., Effect of intensity error correlation on the computed phase of phase-shifting interfereometry, Journal of the Optical Society of America A 7(4), 1990, pp. 537–541.
  • [11] LIAN XUE, XIANYU SU, Phase-unwrapping algorithm based on frequency analysis for measurement of a complex object by the phase-measuring-profilometry method, Applied Optics 40(8), 2001, pp. 1207–1215.
  • [12] WU YING-CHUN, CAO YI-PING, ZHONG LI-JUN, An improved method of stoilov algorithm adapting to phase measuring profilometry, Acta Photonica Sinica 39(2), 2010, pp. 307–310.
  • [13] WENSHEN ZHOU, XIANYU SU, A direct mapping algorithm for phase-measuring profilometry, Journal of Modern Optics 41(1), 1994, pp. 89–94.
  • [14] WANSONG LI, XIANYU SU, ZHONGBAO LIU, Large-scale three-dimensional object measurement: a practical coordinate mapping and image data-patching method, Applied Optics 40(20), 2001, pp. 3326–3333.
  • [15] YUANYUAN CAI, XIANYU SU, Inverse projected-fringe technique based on multi projectors, Optics and Lasers in Engineering 45(10), 2007, pp. 1028–1034.
  • [16] KEYSERS D., DESELAERS T., NEY H., Pixel-to-pixel matching for image recognition using Hungarian graph matching, Pattern Recognition, Lecture Notes in Computer Science, Vol. 3175, 2004, pp. 154–162.
  • [17] CHARAN R., AHUJA N., Feature guided pixel matching and segmentation in motion image sequences, IEEE Proceedings of International Symposium on Computer Vision, 1995, pp. 277–282.
  • [18] KUANG PENG, YI-PING CAO, KUN LI, YING-CHUN WU, A new pixel matching method using the entire modulation of the measured object in online PMP, Optik – International Journal for Light and Electron Optics 125(1), 2014, pp. 137–140.
  • [19] KO-CHEUNG HUI,WAN-CHI SIU,YUI-LAM CHAN, New adaptive partial distortion search using clustered pixel matching error characteristic, IEEE Transactions on Image Processing 14(5), 2005, pp. 597–607.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-77c05ebe-21ee-41cf-a2f1-5c431f3784a8
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