1. bookVolume 21 (2021): Issue 6 (December 2021)
Journal Details
License
Format
Journal
First Published
07 Mar 2008
Publication timeframe
6 times per year
Languages
English
access type Open Access

3D Measurement of Discontinuous Objects with Optimized Dual-frequency Grating Profilometry

Published Online: 26 Oct 2021
Page range: 197 - 204
Received: 11 Jul 2021
Accepted: 18 Oct 2021
Journal Details
License
Format
Journal
First Published
07 Mar 2008
Publication timeframe
6 times per year
Languages
English
Abstract

Three-dimensional profilometry tends to be less effective at measuring discontinuous surfaces. To overcome this problem, an optimized profilometry based on fringe projection is proposed in this paper. Due to the limitation of the shooting angle, there are projection blind spots on the surface of discontinuous objects. Since the noises and unwrapping errors are always localized at the projection blind spots, an algorithm is designed to determine the blind spots automatically with the light intensity difference information. Besides, in order to improve the measurement accuracy, a processing scheme is introduced to deal with the local height distortion introduced by the dual-frequency grating profilometry. Lots of measurement tests on various surfaces are carried out to assess the optimized profilometry, and experimental results indicate that the modified profilometry system works more robust with high reliability and accuracy in measuring different kinds of surfaces, especially discontinuous ones.

Keywords

[1] Luhmann, T., Robson, S., Kyle, S., Harley, I. (2006). Close Range Photogrammetry: Principles, Techniques and Applications. Whittles, ISBN 9781870325509. Search in Google Scholar

[2] Hyun, J.S., Zhang, S. (2020). Influence of projector pixel shape on ultrahigh-resolution 3D shape measurement. Optics Express, 28 (7), 9510-9520.10.1364/OE.389331 Search in Google Scholar

[3] Zhang, S. (2018). High-speed 3D shape measurement with structured light methods: A review. Optics and Lasers in Engineering, 106, 119-131.10.1016/j.optlaseng.2018.02.017 Search in Google Scholar

[4] Qian, J., Feng, S., Li, Y., Tao, T., Han, J., Chen, Q., Zuo, C. (2020). Single-shot absolute 3D shape measurement with deep-learning-based color fringe projection profilometry. Optics Letters, 45 (7), 1842-1845.10.1364/OL.388994 Search in Google Scholar

[5] Zhou, P., Zhang, Y., Yu, Y., Cai, W., Zhou, G. (2020). 3D shape measurement based on structured light field imaging. Mathematical Biosciences and Engineering, 17 (1), 654-668.10.3934/mbe.2020034 Search in Google Scholar

[6] Zou, H., Da, F., Wang, Z. (2015). A novel 3D face feature based on Geometry image vertical shape information. Optik, 126 (9-10), 898-902.10.1016/j.ijleo.2015.02.083 Search in Google Scholar

[7] Huang, P.S., Zhang, S., Chiang, F.-P. (2005). Trapezoidal phase-shifting method for three-dimensional shape measurement. Optical Engineering, 44 (12), 123601.10.1117/1.2147311 Search in Google Scholar

[8] Quan, C., He, X., Tay, C.J., Shang, H.M. (2001). 3D surface profile measurement using LCD fringe projection. In Second International Conference on Experimental Mechanics. SPIE, vol. 4317.10.1117/12.429629 Search in Google Scholar

[9] Karpinsky, N., Zhang, S. (2012). High-resolution, real-time 3D imaging with fringe analysis. Journal of Real-Time Image Processing, 71, 55-66.10.1007/s11554-010-0167-4 Search in Google Scholar

[10] Takeda, M., Mutoh, K. (1983). Fourier transform profilometry for the automatic measurement of 3D object shape. Applied Optics, 22 (24), 3977-3982.10.1364/AO.22.003977 Search in Google Scholar

[11] Su, X., Chen, W. (2001). Fourier transform profilometry: A review. Optics and Lasers in Engineering, 35 (5), 263-284.10.1016/S0143-8166(01)00023-9 Search in Google Scholar

[12] Su, X., Chen, W., Zhang, Q., Chao, Y. (2001). Dynamic 3-D shape measurement method based on FTP. Optics and Lasers in Engineering, 36 (1), 49-64.10.1016/S0143-8166(01)00028-8 Search in Google Scholar

[13] Su, X., Su, L., Li, W., Xiang, L. (1998). New 3D profilometry based on modulation measurement. In Automated Optical Inspection for Industry: Theory, Technology, and Applications II. SPIE, vol. 3558. Search in Google Scholar

[14] Goldstein, R.M., Zebker, H.A., Werner, C.L. (1988). Statellite radar interferometry: Two-dimensional phase unwrapping. Radio Science, 23 (4), 713-720.10.1029/RS023i004p00713 Search in Google Scholar

[15] Huntley, J.M., Saldner, H. (1993). Temporal phase-unwrapping algorithm for automated interferogram analysis. Applied Optics, 32 (17), 3047-3052.10.1364/AO.32.003047 Search in Google Scholar

[16] Huntley, J.M., Coggrave, C.R. (1998). Progress in phase unwrapping. In International Conference on Applied Optical Metrology. SPIE, vol. 3407.10.1117/12.323298 Search in Google Scholar

[17] Chan, P.H., Bryanston-Cross, P.J., Parker, S.C. (1995). Fringe-pattern analysis using a spatial phase-stepping method with automatic phase unwrapping. Measurement Science and Technology, 6, 1250-1259.10.1088/0957-0233/6/9/004 Search in Google Scholar

[18] Yao, P., Gai, S., Chen, Y., Chen, W., Da, F. (2021). A multi-code 3D measurement technique based on deep learning. Optics and Lasers in Engineering, 143, 106623.10.1016/j.optlaseng.2021.106623 Search in Google Scholar

[19] Liu, Y., Fu, Y., Zhou, P., Zhuan, Y., Zhong, K., Guan, B. (2020). A real-time 3D shape measurement with color texture using a monochromatic camera. Optics Communications, 474, 126088.10.1016/j.optcom.2020.126088 Search in Google Scholar

[20] Wu, Z., Guo, W., Li, Y., Liu, Y., Zhang, Q. (2020). High-speed and high-efficiency three-dimensional shape measurement based on Gray-coded light. Photonics Research, 8 (6), 819-829.10.1364/PRJ.389076 Search in Google Scholar

[21] Guo, W., Wu, Z., Li, Y., Liu, Y., Zhang, Q. (2020). Real-time 3D shape measurement with dual-frequency composite grating and motion-induced error reduction. Optics Express, 28 (18), 26882-26897.10.1364/OE.403474 Search in Google Scholar

[22] Zhang, J., Guo, W., Wu, Z., Zhang, Q. (2021). Three-dimensional shape measurement based on speckle-embedded fringe patterns and wrapped phase-to-height lookup table. Optical Review, 28, 227-238.10.1007/s10043-021-00653-9 Search in Google Scholar

[23] Zhang, S., Yau, S.T. (2007). Generic nonsinusoidal phase error correction for three-dimensional shape measurement using a digital video projector. Applied Optics, 46 (1), 36-43.10.1364/AO.46.000036 Search in Google Scholar

[24] Hu, Y.S., Xi, J.T., Li, E.B., Chicharo, J., Yang, Z.K. (2006). Three-dimensional profilometry based on shift estimation of projected fringe patterns. Applied Optics, 45 (4), 678-687.10.1364/AO.45.000678 Search in Google Scholar

[25] Gai, S., Da, F. (2011). A novel fringe adaptation method for digital projector. Optics and Lasers in Engineering, 49 (4), 547-552.10.1016/j.optlaseng.2010.12.004 Search in Google Scholar

[26] Jin, X., Chen, Y., Guo, Y., Sun, Y., Chen, J. (2013). Tea flushes identification based on machine vision for high-quality tea at harvest. Applied Mechanics and Materials, 288, 214-218.10.4028/www.scientific.net/AMM.288.214 Search in Google Scholar

[27] Jin, X., Chen, Y., Zhang, H., Sun, Y., Chen, J. (2012). High-quality tea flushes detection under natural conditions using computer vision. International Journal of Digital Content Technology and its Applications (Gyeongju), 6 (8), 600-606. Search in Google Scholar

[28] Zhang, H., Chen, Y., Wang, W., Zhang, G. (2014). Positioning method or tea picking using active computer vision. Nongye Jixie Xuebao / Transactions of the Chinese Society of Agricultural Machinery, 45 (9), 61-65. Search in Google Scholar

[29] Jin, X., Che, J., Chen, Y. (2021). Weed identification using deep learning and image processing in vegetable plantation. IEEE Access, 9, 10940-10950.10.1109/ACCESS.2021.3050296 Search in Google Scholar

[30] Jiang, H., Jiang, X., Ru, Y., Wang, J., Xu, L., Zhou, H. (2020). Application of hyperspectral imaging for detecting and visualizing leaf lard adulteration in minced pork. Infrared Physics & Technology, 110, 103467.10.1016/j.infrared.2020.103467 Search in Google Scholar

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