An artificial neural network for double exposure PIV image analysis

被引：7

作者：

Chen, PH ^{[1
]}

Yen, JY ^{[1
]}

Chen, JL ^{[1
]}

机构：

[1] Natl Taiwan Univ, Dept Mech Engn, Taipei 10764, Taiwan

来源：

EXPERIMENTS IN FLUIDS | 1998年 / 24卷 / 5-6期

关键词：

D O I：

10.1007/s003480050185

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

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.

引用

页码：373 / 374

页数：2