Abstract
In the process of laser pointing, there will be laser speckle phenomenon, which affects the image observation effect. In this paper, a laser point de-fuzzy method was proposed, which provided a new idea for reducing the influence of laser speckles. Firstly, the background was stitched by affine transformation of the image, and then, the location information of laser point was acquired. Finally, the new optical point was added to corresponding position in the background by calculation. The video with expected clear laser point and no color difference background is obtained. The experimental results show that the background color difference caused by the optical filter has been eliminated, and the new light spot is clearly mapped in the correct position, which achieves the effect of removing the light spot fuzzy and accurately tracking the laser point.
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References
Haley D, Pratt O (2017) Basic principles of lasers. Anaesth Intensive Care Med 18(12):648–650
Cao H, Chriki R, Bittner S, Friesem AA, Davidson N (2019) Publisher correction: complex lasers with controllable coherence. Nat Rev Phys 1(2):169–169
Mitsui M, Mori K, Kobayashi R (2020) Quantification of dyes generating photocurrent and/or photoluminescence in dye-sensitized solar cells using laser scanning microscopy. Energies 13(8):1866
Dimitriou N, Leontaris L, Vafeiadis T, Ioannidis D, Wotherspoon T, Tinker G, Tzovaras D (2019) Fault diagnosis in microelectronics attachment via deep learning analysis of 3D laser scans. In: IEEE transactions on industrial electronics, pp 1–1
Greiffenhagen F, Peterleithner J, Woisetschläger J (2017) Prediction of combustion noise of a swirl-stabilized flame using laser interferometric vibrometry validated by acoustic measurements. In: Combustion, fuels and emissions, vol 4A
Ma S, Jiang Z, Jiang H, Han M, Li C (2020) Parking space and obstacle detection based on a vision sensor and checkerboard grid laser. Appl Sci 10(7):2582
Sang X, Li D, Chen B (2019) A new simulation method for laser speckle imaging to investigate hemodynamics. In: E3S web of conferences, vol 128, pp 02001
Jain SK, Ray RK (2020) Non-linear diffusion models for despeckling of images. achievements and future challenges. IETE Tech Rev 37(1):66–82
Bay H, Ess A, Tuytelaars T, Gool LV (2008) Speeded-up robust features (SURF). Comput Vis Image Underst 110(3):346–359
Pflugfelder D, Scharr H (2020) Practically lossless affine image transformation. IEEE Trans Image Process 29:5367–5373
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Yan, W., Zhang, B., Chen, C., Fei, J., Zhang, C., Zhao, Z. (2021). Laser Point De-Fuzzy Method Based on Stitched Background Mapping. In: Liang, Q., Wang, W., Liu, X., Na, Z., Li, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2020. Lecture Notes in Electrical Engineering, vol 654. Springer, Singapore. https://doi.org/10.1007/978-981-15-8411-4_218
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DOI: https://doi.org/10.1007/978-981-15-8411-4_218
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