High-Resolution Fringe Pattern Phase Extraction, Placing a Focus on Real-Time 3D Imaging
محورهای موضوعی : Image ProcessingAmir Hooshang Mazinan 1 , Ali Esmaeili 2
1 - Azad University, South Tehran Branch
2 - Islamic Azad University, South Tehran Branch
کلید واژه: High-Resolution Fringe Patterns , 3D Imaging , Itoh Algorithm , Wavelet Transformation,
چکیده مقاله :
The idea behind the research is to deal with real-time 3D imaging that may extensively be referred to the fields of medical science and engineering in general. It is to note that most effective non-contact measurement techniques can include the structured light patterns, provided in the surface of object for the purpose of acquiring its 3D depth. The traditional structured light pattern can now be known as the fringe pattern. In this study, the conventional approaches, realized in the fringe pattern analysis with applications to 3D imaging such as wavelet and Fourier transform are efficiently investigated. In addition to the frequency estimation algorithm in most of these approaches, additional unwrapping algorithm is needed to extract the phase, coherently. Considering problems regarding phase unwrapping of fringe algorithm surveyed in the literatures, a state-of-the-art approach is here organized to be proposed. In the aforementioned proposed approach, the key characteristics of the same conventional algorithms such as the frequency estimation and the Itoh algorithm are synchronously realized. At the end, the results carried out through the simulation programs have revealed that the proposed approach is able to extract image phase of simulated fringe patterns and correspondingly realistic patterns with high quality. Another advantage of this investigated approach is considered as its real-time application, while a significant part of operations might be executed in parallel.
The idea behind the research is to deal with real-time 3D imaging that may extensively be referred to the fields of medical science and engineering in general. It is to note that most effective non-contact measurement techniques can include the structured light patterns, provided in the surface of object for the purpose of acquiring its 3D depth. The traditional structured light pattern can now be known as the fringe pattern. In this study, the conventional approaches, realized in the fringe pattern analysis with applications to 3D imaging such as wavelet and Fourier transform are efficiently investigated. In addition to the frequency estimation algorithm in most of these approaches, additional unwrapping algorithm is needed to extract the phase, coherently. Considering problems regarding phase unwrapping of fringe algorithm surveyed in the literatures, a state-of-the-art approach is here organized to be proposed. In the aforementioned proposed approach, the key characteristics of the same conventional algorithms such as the frequency estimation and the Itoh algorithm are synchronously realized. At the end, the results carried out through the simulation programs have revealed that the proposed approach is able to extract image phase of simulated fringe patterns and correspondingly realistic patterns with high quality. Another advantage of this investigated approach is considered as its real-time application, while a significant part of operations might be executed in parallel.
[1] A. Abdulbasit, Zaid Ahmed. "Fringe Pattern Analysis". Liverpool John Moores University, 2008.#
[2] X. Su, W. Chen, Z. Qc and Y. Chao "Dynamic 3-D Shape Measurment Method Based on Ftp". Optics and Lasers in Engineering, vol. 36, pp. 46-64, 2001.#
[3] M. Takeda, H. Ina and A. Kobayashi, "Fourier-Transform Method of Fringe Pattern Analysis for Computer-Based Topography and Interferometry". Journal of the Optical Society of America, pp. 156-160, 1982#
[4] N. Karpinsky, S. Zhang, "High-resolution, real-time 3D imaging with fringe analysis". Journal of Real-Time Image Processing, vol.7, issue 1, pp. 55-66, March 2012.#
[5] G. Munther, "Mother Wavelets". Liverpool John Moores University.2009.#
[6] R. Cusack, J.M. Huntley and H. T. Goldrein. "Improved noise immune phase-unwrapping algorithm", Applied Optics, pp. 781-789, 1995.#
[7] S. A. Karout, M. A. Gdeisat, D. R. Burton and M. J. Lalor, "Two-dimensional phase unwrapping using a hybrid genetic algorithm". Applid Optics, vol. 46, pp. 730–743, 2007.#
[8] P. Sandoz, "Wavelet Transform as a Processing Tool in White-Light Interferometry". Optics Letters, vol. 22, pp. 1065-7, 1997.#
[9] M. Cherbuliez, P. Jacquot and X. Colonna de Lega, "Wavelet Processing of Interferometric Signals and Fringe Patterns". SPIE-Int. Soc. Opt. Eng., 1999.#
[10] A. Dursun, S. Ozder and F. N. Ecevit, "Continuous Wavelet Transform Analysis of Projected Fringe Patterns". Measurement Science and Technology, vol. 15, pp. 1768-1772, 2004.#
[11] H. Pottle, "The Phase Unwrapping Problem". Liverpool John Mooores University. 2012.#
[12] F. Qiangian, P. M. Meaney and K. D. Paulsen. "The multidimensional phase unwrapping Integral and applications to microwave tomographical image reconstruction". IEEE Transactions on Image Processing, no. 11, vol. 15, pp. 3311-24, 2006.#
[13] S. A. Karout, M. A. Gdeisat, D. R. Burton and M. J. Lalor. "Residue Vector, An Approach To Branch-Cut Placement In Phase Unwrapping: Theoretical Study". Applied Optics, vol. 46, no. 21, pp. 4712-4727, 2007.#
[14] R. Kulkarni, P. Rastogi, "Patch-wise denoising of phase fringe patterns based on matrix enhancement", Optics and Lasers in Engineering, in press, 2016.#
[15] A. Abid, M. Gdeisat, D. Burton and M.A. Lalor, "Comparison between Wavelet Fringe Analysis Algorithms". Journal of Photon, Manchester UK,2006.#
[16] B. Li, Y. Wang, J. Dai, W. Lohry, S. Zhang, "Some recent advances on superfast 3D shape measurement with digital binary defocusing techniques". Optics and Lasers in Engineering, vol.54, pp. 236-246, 2014.#
[17] Y. Xu, L. Ekstrand, J. Dai, S. Zhang, "Phase error compensation for three- dimensional shape measurement with projector defocusing". Applied Optics, pp. 2572–81, 2011.#
[18] S. Zhang. "Flexible 3-D shape measurement using projector defocusing: extended measurement range". Optics Letters, pp. 931–3, 2010.#
[19] W. Lohry, S. Zhang, "3D shape measurement with 2D area modulated binary patterns". Optics and Lasers in Engineering, vol. 50, issue 7, pp. 917-921, 2012.#
[20] J. Dai, B. Li, S. Zhangm, "Intensity-optimized dithering technique for three-dimensional shape measurement with projector defocusing". Optics and Lasers in Engineering, pp.79–85, 2014.#
[21] S. Zhang, "Three-dimensional range data compression using computer graphics rendering pipeline". US 20140063 024A1 2014.#
[22] A. Abdulbasit, "FPGA Implementation for Fringe Pattern Demodulation Using the One-Dimensional Modified Morlet Wavelet Transform", International Journal of Engineering and Innovative Technology, vol. 3, pp. 2277-3754, 2013.#
[23] A. Abdulbasit, "Fringe pattern demodulation using the one-dimensional continuous wavelet transform: field-programmable gate array implementation". Applied Optics, vol. 52, 2013.#
[24] S. Saadi, M. Touiza, F. Kharfi, A. Guessoum. "Dyadic wavelet for image coding implementation on a Xilinx MicroBlaze processor: application to neutron radiography". Applied Radiation and Isotopes, vol. 82, pp. 200-210, 2013.#
