The evaluation of a crosscorrelation pattern recognition technique for flow visualization
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摘要
A method based on crosscorrelation of synthesized digital image pairs has been used for determination of velocity vector fields associated with fluid flow about a cylinder. A simple model has been used to test the validity of this image-processing technique for replacement of the time-consuming manual evaluation of time-sequenced photographs used for flow visualization. A time-sequenced digital image pair was synthesized by using the standard equations of motion of fluid flow about a cylinder. Both optimum particle density and time delay for the best performance of the algorithm were found.
论文关键词:Image processing,Crosscorrelation,Pattern recognition,Fluid flow visualization,Motion detection
论文评审过程:Received 6 April 1989, Available online 19 May 2003.
论文官网地址:https://doi.org/10.1016/0031-3203(90)90011-9