A low-cost Raspberry Pi based imaging system for analysis of fiber specklegram sensors
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11082-024-06857-y.pdf
Reference25 articles.
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2. Di Stefano, L., Mattoccia, S., Tombari, F.: ZNCC-based template matching using bounded partial correlation. Pattern Recognit. Lett. 26, 2129–2134 (2005). https://doi.org/10.1016/j.patrec.2005.03.022
3. Fujiwara, E., Wu, Y.T., Santos, M.F.M., Schenkel, E.A., Suzuki, C.K.: Optical fiber specklegram sensor for measurement of force myography signals. IEEE Sens. J. 17, 951–958 (2017). https://doi.org/10.1109/JSEN.2016.2638831
4. Fujiwara, E., Ri, Y., Wu, Y.T., Fujimoto, H., Suzuki, C.K.: Evaluation of image matching techniques for optical fiber specklegram sensor analysis. Appl. Opt. 57, 9845–9854 (2018a). https://doi.org/10.1364/ao.57.009845
5. Fujiwara, E., Evaristo da Silva, L., Marques, T.H.R., Cordeiro, C.M.B.: Polymer optical fiber specklegram strain sensor with extended dynamic range. Opt. Eng. 57(11), 1–9 (2018b). https://doi.org/10.1117/1.oe.57.11.116107
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