Image Processing Method of PIV Technique
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摘要: 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.Abstract: The image processing method of PIV was studied on the base of the image correlation theory in this paper. The simulated particle image displacement field was reconstructed. The reconstruction result of auto correlation and cross correlation , and the error of cross correlation were given. The difference of this two correlation method was analyzed. The cross correlation is a good method that can increase the PIV's accuracy, so the frame straddling technique is favorite to be developed for PIV measurement.
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Key words:
- flow measurement /
- digital image processing /
- autocorrelations /
- cross-correlation /
- PIV
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