Extraction of laser stripe center on rough metal surface

Bo-hua, 赵博华 Zhao; Bo-xiong, 王伯雄 Wang; Jin, 张金 Zhang; Xiu-zhi, 罗秀芝 Luo

doi:10.3788/ope.20111909.2138

Cited by 6 publications

(2 citation statements)

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“…The frame rate of the camera is 30 frames/s and the frame rate of the MEMS scanning mirror is 50 frames/s. The maximum frame rate of the system 30 frames/s is selected and the time taken for the field measurement is only 10.6 s. Then the laser stripe centerline is extracted by the gravity center extraction method [35] and the three-dimensional reconstruction of the model is implemented by binocular stereo matching method based on a fixed area.…”

Section: Experiments and Analysismentioning

confidence: 99%

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Multiple Laser Stripe Scanning Profilometry Based on Microelectromechanical Systems Scanning Mirror Projection

Zhou

Zhang

et al. 2019

Micromachines

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In traditional laser-based 3D measurement technology, the width of the laser stripe is uncontrollable and uneven. In addition, speckle noise in the image and the noise caused by mechanical movement may reduce the accuracy of the scanning results. This work proposes a new multiple laser stripe scanning profilometry (MLSSP) based on microelectromechanical systems (MEMS) scanning mirror which can project high quality movable laser stripe. It can implement full-field scanning in a short time and does not need to move the measured object or camera. Compared with the traditional laser stripe, the brightness, width and position of the new multiple laser stripes projected by MEMS scanning mirror can be controlled by programming. In addition, the new laser strip can generate high-quality images and the noise caused by mechanical movement is completely eliminated. The experimental results show that the speckle noise is less and the light intensity distribution is more even. Furthermore, the number of pictures needed to be captured is significantly reduced to 1/N (N is the number of multiple laser stripes projected by MEMS scanning mirror) and the measurement efficiency is increased by N times, improving the efficiency and accuracy of 3D measurement.

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Section: Experiments and Analysismentioning

confidence: 99%

“…The image processing methods in the experiment use the gravity center extraction method [35] and linear interpolation stereo matching. However, the methods are not focal of my research, which can be replaced by other more accurate method to improve the accuracy of 3D reconstruction.…”

Section: Experiments and Analysismentioning

confidence: 99%