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1、摘 要I论文题目：粒子追踪测速（论文题目：粒子追踪测速（PTVPTV）算法设计与编程实现）算法设计与编程实现学生姓名：学生姓名：XXXXXX指导教师：指导教师：XXXXXX摘 要粒子跟踪测速(PTV)是一种全新无扰、瞬态、全场速度测量的方法，直接跟踪流场中的示踪粒子的运动，它的原理很简单，就是在流场中撒入示踪粒子，假设示踪粒子的运动准确代表了其所在流场内相应位置流体的运动。首先使用脉冲片光源照射流场中的一个测试平面，利用这些粒子对光的散射作用，使用成像的方法记录下流场中粒子的位置，然后对连续两帧或者多帧图像进行处理分析，得出各点粒子的位移，最后根据粒子位移和曝光的时间间隔，便可以计算出流场中各
2、点的速度矢量，进而可以得到其他的参数。PTV 图像的处理过程主要包括粒子识别和粒子配对过程，在 PTV 技术研究中，粒子识别过程一般采用统一灰度阈值的方法来确认，粒子配对则有许多不同的匹配方法。本文研究内容的重点是粒子配对过程，通过对几种 PTV 匹配算法的介绍并且比较它们的优缺点，选出其中一种匹配算法进行改进并通过编程实现，然后分别以模拟流场和实际流场对算法进行验证，用算法获得的流场速度分布与实际流场对比来评估该算法的优劣和适用性。关键词关键词：PTV；匹配算法；编程实现IITitle: the Algorithm Design of PTV and Programming Realizat
3、ionname: XXXSupervisor: XXXABSTRACTPTV is a brand new , instant state way without interference to measure the speed of all the field, directly tracing the movement of seeding particles in a field。Its theory is very simple: dropping seeding particles in a field, lets suppose the movement of seeding p
4、articles significantly represents the movement of the fluids positions.Firstly, we make the pulse piece light source to ray a testing plane in the field,utilizing the scattering effect of the particles to light, making use of the imaging method to record the location of the particles in the flow fie
5、ld, then analyzing two or more images which are in series, the result is the displacement of every particle, in the end, in accordance with the displacement of a particle and the time interval of exposure ,we can caculate the speed vector of every particle in the flow field, and so do the other para
6、meters. The process of PTV image mainly includes the process of particle identification and particle matching, from the PTV technical study, the process of particle identification usually utilize the same gray threshold to confirm, however, the process of particle matching have diverse range of matc
7、hing measures. The essay mainly research the process of particle matching, by introducing some PTV matching measures, comparing their relative merits, and improving one of them by programming, then validating by simulation field and reality field to the algorithm respectively, and evaluating the qua
8、lity and applicability of the algorithm by matching the flow field velocity distribution which is obtained by the algorithm and reality fieldKEY WORDS: Ptv;Matching algorithm;Programming realiza目 录III目目 录录摘 要.I ABSTRACT.II 1 绪论.11.1 研究背景.11.2 PTV 原理与发展历程.11.3 本文研究内容.22 常见的 PTV 匹配算法原理.42.1 最近邻法.42.2 四帧粒子图像跟踪算法.42.3 PCSS 算法.62.4 匹配几率法.73 PTV 匹配算法及其验证.113.1 匹配算法评价方法.113.2 匹配算法原理对比分析.113.3 算法改进、实现与验证及其分析.123.3.1 算法改进与实现.123.3.2 模拟流场对算法的验证.144 PTV 算法对实际图像的处理及软件界面设计.324.1 算法对实际图像的处理.324.2 软件界面设计.335 结论与展望.365.1 本文结论.365.2 对 PTV 算法的展望.
