Comparison of the Neural Networks with Crosscorrelation Algorithm for the Displacements on Images Estimation

In this paper three methods for determining displacements on images are compared. Two of them are neural networks designed for Particle Image Velocimetry images processing. The third method is classic cross-correlation approach. For estimation the accuracy of the algorithms synthetic data were used. Based on the obtained simulation results, it can be concluded that the use of neural networks is promising both for fluid dynamics and solid mechanics applications.