Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-14T04:31:02.207Z Has data issue: false hasContentIssue false
  • English
  • Français

Disparity Surface Reconstruction Based on a Stereo Light Microscope and Laser Fringes

Published online by Cambridge University Press:  02 October 2018

Yuezong Wang
Yuezong Wang*
Affiliation:
College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
*
Author for correspondence: Yuezong Wang, E-mail: yaozongw@bjut.edu.cn
Get access

Abstract

Microscopic vision systems based on a stereo light microscope (SLM) are used in microscopic measuring fields. Conventional measuring methods output the disparity surface based on stereo matching methods; however, these methods require that stereo images contain sufficient distinguishing features. Moreover, matching results typically contain many mismatched points. This paper presents a novel method for disparity surface reconstruction by combining an SLM and laser measuring techniques. The surfaces of small objects are scanned by a laser fringe, and a stereo image sequence containing laser stripes is obtained. The central contours of the laser stripes are extracted, and central contours are derived for alignment. A disparity coordinate system is then defined and used to analyze the relationship between the motion direction and reference plane. Next, the method of aligning disparity contours is proposed. The results show that our method can achieve a precision of ±0.5 pixels and that the real and measured shapes described by the disparity surface are consistent based on our method. Our method is confirmed to perform much better than the conventional block-matching method. The disparity surface output obtained by our method can be used to measure the surface profiles of microscopic objects accurately.

Keywords

microscopic visionstereo light microscopemicroscopic measurementlaser fringe
Type
Software and Instrumentation
Information
Microscopy and Microanalysis , Volume 24 , Issue 5 , October 2018 , pp. 503 - 516
Copyright
© Microscopy Society of America 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Danuser, G (1999) Photogrammetric calibration of a stereo light microscope. J Microsc 193, 62–83.Google Scholar
Eckert, L Grigat, RR (2001) Biologically motivated, precise and simple calibration and reconstruction using a stereo light microscope. IEEE Int Conf Comput Vis 2, 94–100.Google Scholar
Kim, NH, Bovik, AC Aggarwal, SJ (1990) Shape description of biological objects via stereo light microscopy. IEEE Trans Syst Man Cybern 20(2), 475–489.Google Scholar
Li, WX, Wei, ZZ Zhang, GJ (2014) Affine calibration based on invariable extrinsic parameters for stereo light microscope. Opt Eng 53(10), 102–105.Google Scholar
Liang, J, Tang, ZZ, Guo, X, Leigang, L Miao, Y (2014) Microscopic three-dimensional deformation measurement system based on digital image correlation. Acta Opt Sin 34(5), 1–10.Google Scholar
Liu, YK Su, XY (2014) High precision phase measuring profilometry based on stereo microscope. Optik 125, 5861–5863.Google Scholar
Malte, H, Tobias, H Wolfgang, O (2012) Stereo vision in spatial-light-modulator-based microscopy. Opt Lett 37(12), 2238–2240.Google Scholar
Pei, W, Zhu, YY, Xu, Z Wang, CX (2012) Accuracy analysis of SLM based micro stereo vision system. In: 2012 International Conference on System Science and Engineering (ICSSE) , 30 June–2 July, Dalian, China, pp. 363–368. Piscataway, NJ: IEEE.Google Scholar
Robert, W, Matthias, F Hans, JT (1997) Three-dimensional topometry with stereo microscopes. Soc Photo Opt Instrum Eng 36(12), 3372–3376.Google Scholar
Sano, T, Hidekazu, N, Hiroshi, E, Takeshi, K Hidekim, Y (1998) A visual feedback system for micromanipulation with stereoscopic microscope. In: IMTC/98 Conference Proceedings. IEEE Instrumentation and Measurement Technology Conference. Where Instrumentation is Going, 18–21 May, St. Paul, MN, pp. 1127–1132. Piscataway, NJ: IEEE.Google Scholar
Steger, C (1996) Extracting of curved lines from images. In: Proceedings of 13th International Conference on Pattern Recognition, 25–29 August, Vienna, Austria, pp. 251–255. Piscataway, NJ: IEEE.Google Scholar
Wang, YZ, Zhao, ZZ Wang, JS (2016) Microscopic vision modeling method by direct mapping analysis for micro-gripping system with stereo light microscope. Micron 83, 93–109.Google Scholar
Yamamoto, H Sano, T (2002) Study of micromanipulation using stereoscopic microscope. IEEE Trans Instrum Meas 51(2), 182–187.Google Scholar
Zhang, GJ, Li, WX, Wei, ZZ, Cao, ZP Wang, YL (2012) Microscopic vision based on the adaptive positioning of the camera coordinate frame. Microsc Res Tech 75, 1281–1291.Google Scholar