An Artificial Neural Network for Double Exposure PIV Image Analysis
Resource
Experiments in Fluids 24: 373-374
Journal
Experiments in Fluids
Pages
373-374
Date Issued
1997
Date
1997
Author(s)
Abstract
This note presents a back propagation neural network for PIV image analysis. Unlike the conventional auto-correlation method that identifies one pair of image out of the picture, the proposed network distinguishes all the image pairs in the measurement area and provides different labels for each pair. Experimental investigations show good agreement with the auto-correlation process for the uniform flow measurement, and a 78.1% success ratio for the stagnation flow.
Type
journal article
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