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Improvement of noise filtering and image registration methods for the Pressure Sensitive Paint experiments

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Abstract

Image processing procedures for noise reduction and image registration in the Pressure Sensitive Paint (PSP) experiments are investigated. A several types of filter are examined for the removal of shot noise. An algorithm to detect a marker cell located on the model surface is proposed and an appropriate marker size is discussed. The digital processing based on the wavelet transform is effective to reduce the shot noise and to enhance the edge of the model. The algorithm to sharpen the edge of the model using wavelet transforms is developed. The results indicate that the methods developed in this study effectively remove the shot noise and correct the displacement of the model on the images taken during the wind-on.

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Correspondence to Fujimatsu N..

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Nobuyoshi Fujimatsu: He received his M.Sc.(Eng) in Aerospace Engineering in 1998 from University of Tokyo. He also received his Ph.D. in Aerospace Engineering in 2001 from University of Tokyo. He worked for Research Division for Space Transportation, the Institute of Space and Astronautical Science as a research associate in 2001. He works in Department of Mechanical Engineering, Aoyama Gakuin University as a research associate since 2003. His research interests are computational fluid dynamics, flow visualization, image processing and turbulence flow.

Yoshiaki Tamura: He received his master degree of engineering in the Department of Aeronautics and Astronautics, University of Tokyo in 1986. He worked for Fujitsu Ltd. for three years as a systems engineer before he started his research carrier at the Institute of Space and Astronautical Science (ISAS). After spending seven and a half years at the ISAS as a research associate, he became an associate professor at Intelligent Modeling Laboratory, University of Tokyo in 1996. From 2001, he is an associate professor of the Department of Computational Science and Engineering, Toyo University. His major research field is computational fluid dynamics, especially numerical algorithms, cavitating flow simulations and visualization using computer graphics and virtual reality.

Kozo Fujii: He received his Ph.D. in the Department of Aeronautics, University of Tokyo in 1980. After spending several years at NASA Ames Research Center as a (senior) NRC research associate and (senior) research scientist at National Aerospace Laboratory in Japan, he became an associate professor at the Institute of Space and Astronautical Science in 1988. After the reorganization of Japanese aerospace institutes on 2003, he is currently a professor of the department of space transportation engineering at the Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency. His research area spreads all the aspects of fluid dynamics including flow visualizations.

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Fujimatsu, N., Tamura, Y. & Fujii, K. Improvement of noise filtering and image registration methods for the Pressure Sensitive Paint experiments. J Vis 8, 225–233 (2005). https://doi.org/10.1007/BF03181500

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  • DOI: https://doi.org/10.1007/BF03181500

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