Static Evaluation of One Shot 3D Surface Imaging using Digital Colored Fringe Projection Technique

被引:0
|
作者
Zahra, N. [1 ]
Suprijanto [1 ]
Juliastuti, E. [1 ]
机构
[1] ITB, Instrumentat & Control Res Grp, Bandung, Indonesia
来源
2017 CONFERENCE ON LASERS AND ELECTRO-OPTICS PACIFIC RIM (CLEO-PR) | 2017年
关键词
Color Fringe Projection; Phase Shifting Interferometry; Fringe Normalization; 3D Surface Measurement;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This research developed an alternative to grayscale Phase Shifting Interferometry for 3D surface measurement by utilizing three channels color fringe. As it has been known, grayscale PSI has limitation on dynamic object measurement due to its multi-frame term. By utilizing digital color image, it merely needs a single fringe projection making it possible to obtain faster data acquisition. However, each channel of the recorded image has different intensity range due to optical system's non-linearity that would significantly affect the quality of the reconstruction. Therefore, normalization is urgently needed before performing phase computation. In this study, the normalization was performed using Isotropic N-Dimensional Fringe Normalization (INFPN) based on Hilbert Transformation, while the phase processing includes extraction using 3-step PSI and global phase unwrapping. Experiments are conducted to evaluate RGB fringe performance compared to the grayscale 3-step PSI and grayscale single frame Fourier Transform Profilometry (FTP). The results show that RGB fringe can produce a fairly good reconstruction with the measurement error of less than 6% compared to the grayscale 3-step PSI on static evaluation. It also gives far better quality of reconstruction than the grayscale single frame FTP.
引用
收藏
页数:4
相关论文
共 50 条
  • [21] Sparse and Adaptive Fringe-Enhancement Efficiency Analysis in 3D Optical Digital Fringe-Projection Imaging
    Kamagara, Abel
    Wang, Xiangzhao
    Li, Sikun
    Peng, Changzhe
    TENTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2018), 2018, 10806
  • [22] Fast 3D surface defect detection with fringe projection
    Qian, Jiaming
    Feng, Shijie
    Li, Yixuan
    Tao, Tianyang
    Chen, Qian
    Zuo, Chao
    OPTICAL METROLOGY AND INSPECTION FOR INDUSTRIAL APPLICATIONS VII, 2020, 11552
  • [23] EFFECT OF DIGITAL FRINGE PROJECTION PARAMETERS ON 3D RECONSTRUCTION ACCURACY
    Babaei, A.
    Saadatseresht, M.
    SMPR CONFERENCE 2013, 2013, 40-1-W3 : 73 - 77
  • [24] Digital fringe projection in 3D shape measurement - an error analysis
    Notni, GH
    Notni, G
    OPTICAL MEASUREMENT SYSTEMS FOR INDUSTRIAL INSPECTION III, 2003, 5144 : 372 - 380
  • [25] Underwater 3D Surface Measurement Using Fringe Projection Based Scanning Devices
    Braeuer-Burchardt, Christian
    Heinze, Matthias
    Schmidt, Ingo
    Kuehmstedt, Peter
    Notni, Gunther
    SENSORS, 2016, 16 (01):
  • [26] Projected fringe technique in 3D surface acquisition
    Díaz, C
    Altamirano, L
    ADVANCES IN ARTIFICIAL INTELLIGENCE - IBERAMIA 2004, 2004, 3315 : 600 - 609
  • [27] Fringe contrast-based 3D profilometry using fringe projection
    Chen, LJ
    Quan, CG
    Tay, CJ
    Huang, YH
    OPTIK, 2005, 116 (03): : 123 - 128
  • [28] Handheld underwater 3D sensor based on fringe projection technique
    Braeuer-Burchardt, Christian
    Heinze, Matthias
    Schmidt, Ingo
    Meng, Lichun
    Ramm, Roland
    Kuehmstedt, Peter
    Notni, Gunther
    VIDEOMETRICS, RANGE IMAGING, AND APPLICATIONS XIII, 2015, 9528
  • [29] Innovative calibration technique for fringe projection based 3D scanner
    Zappa, E.
    Busca, G.
    Sala, P.
    OPTICS AND LASERS IN ENGINEERING, 2011, 49 (03) : 331 - 340
  • [30] Color full stokes polarization fringe projection 3D imaging
    Liang, Jian
    Tian, Xiaobo
    Tu, Xingzhou
    Spires, Oliver
    Brock, Neal
    Wang, Daodang
    Wu, Heng
    Ren, Liyong
    Yao, Baoli
    Pau, Stanley
    Liang, Rongguang
    OPTICS AND LASERS IN ENGINEERING, 2020, 130