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| PIV技术的粒子图像处理方法 | |
| 引用本文： | 段俐,康琦,申功炘. PIV技术的粒子图像处理方法[J]. 北京航空航天大学学报, 2000, 26(1): 79-82 |
| 作者姓名： | 段俐 康琦 申功炘 |
| 作者单位： | 1. 北京航空航天大学 飞行器设计与应用力学系; 2. 中国科学院 力学研究所国家微重力实验室 |
| 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. |
| 关 键 词： | 流动测量 数字图像处理 自相关 互相关 PIV技术 |
| 收稿时间： | 1998-08-04 |
| 修稿时间： | : |
Image Processing Method of PIV Technique |
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| DUAN Li,KANG Qi,SHEN Gong-xin. Image Processing Method of PIV Technique[J]. Journal of Beijing University of Aeronautics and Astronautics, 2000, 26(1): 79-82 | |
| Authors: | DUAN Li KANG Qi SHEN Gong-xin |
| Affiliation: | 1. Beijing University of Aeronautics and Astronautics,Dept. of Flight Vehicle Design and Applied Mechanics; 2. Chinese Academy of Sciences,Institute of Mechanics |
| 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. |
| Keywords: | flow measurement digital image processing autocorrelations cross correlation PIV |
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