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以图像相关理论为基础,研究粒子图像测速技术(PIV) 的图像处理方法,编制出高精度的处理软件,重建计算模拟的粒子图像位移场,给出了自相关法与互相关法的积相关与减相关的计算结果,及互相关法的误差分析,分析了自相关与互相关区别.得出了互相关法是提高粒子图像测速技术精度的有效方法的结论,因此跨帧技术是PIV 技术的发展方向
Based on the image correlation theory, the image processing method of Particle Image Velocimetry (PIV) is researched and a high-precision processing software is compiled to reconstruct the calculated displacement field of the particle image. The product correlation between the autocorrelation method and the cross-correlation method is given And subtraction correlation, and the error analysis of the cross-correlation method, the difference between autocorrelation and cross-correlation is analyzed.It is concluded that the cross-correlation method is an effective method to improve the accuracy of the particle image velocimetry technology, so the cross-frame technology is PIV technology The direction of development