Application of Image Analysis With Noise Removal for Supercritical CO2

It is very important to understand the thermo-fluid characteristics of supercritical fluid, for the development of advanced supercritical water cooled nuclear reactor. In this study, visualization experiment for forced convection of the supercritical fluid was carried. Using the measured images with cross-correlation technique, the velocity distribution was obtained. To reduce the error of the reconstructed data, novel approach for the image analysis and advanced visualization technique was applied. For the visualization technique, the frame straddling was applied with infrared pulse laser. The temporal and spatial noise removal procedure was developed for the image analysis.