SMART IMAGE PROCESSING OF FLOW VISUALIZATION

The purpose of this study is to develop an application of the smart visualized image processing to turbulent flow images and PIV (Particle Image Velocimetry) technique in order to improve the temporal resolution of images. Flow images consist of a set of sequentially discretized images in time domain. The smart visualized image processing can convert the discretized images into continuous images based on Helmholtz equation. In this paper the turbulent wake images and standard PIV images were used to evaluate the smart visualized information processing. Images of a turbulent wake with higher temporal resolution were generated, which were used to analyze the mechanism of wake flow. The PIV results obtained from the generated PIV images agreed with the accurate solution. One can say that the smart visualized image processing technique is effective in both flow image analysis and PIV system.