【作者】 邓姿；

【导师】 李木国；

【作者基本信息】 大连理工大学 ， 信号与信息处理， 2006， 硕士

【摘要】 粒子图像测速技术是现代流体力学中应用最为广泛的一种非接触流场测量的技术，迄今为止，二维粒子图像测速技术是最成熟的一种新技术，已经成功地应用在水动力实验、空气动力实验的二维测量中。然而，在实际流动中，流体的运动往往呈现三维空间特征，三维粒子图像测速技术能更精确的揭示各种流动现象，这也使三维粒子图像理论及其应用研究成为目前的粒子图像测速技术研究重点。目前对该技术的改进主要集中在四个方面：流动可视化，视觉测量技术，斑点度量和图像处理。视觉测量方面，立体视觉三维测量是一门新兴技术，在现代工业领域尤其是三维轮廓和体积测量等方面有广阔的应用前景。 本文研究了以立体视觉为理论背景的算法在三维粒子图像处理中的应用。主要完成了以下工作： 首先，本文对立体视觉系统进行了详细的阐述，包括其几何要点、系统结构、系统组成及数学模型；其次，在立体视觉系统结构及数学模型的基础上，对采集系统的硬件组成进行了介绍；再次，重点论述了摄像机标定、特征提取、立体匹配及三维重构等一系列关键技术，结合粒子图像的特点，选取了适用的摄像机标定、同时刻左右粒子图像对的对应、连续两时刻粒子图像对的对应以及粒子空间坐标确定的算法，形成了完整的三维粒子图像处理系统；最后，在MATLAB环境下编制、调试了实验系统软件，构建了基于双目立体视觉系统的研究平台，成功实现了粒子图像空间立体三维信息重构等关键参数的测取。实验表明，测量结果令人满意。更多还原

【Abstract】 Particle Image Velocimetry is one kind of untouched measurement technology for flow field. So far 2D-PIV is a mature technique. It has already been applied to two-dimensional flow field measurement of hydrodynamic experiments and aerodynamic experiments. In the actual flow, Fluid movement takes on the feature of 3D space. 3D-PIV can accurately reveal various flow phenomenona, it makes 3D-PIV theory and application become the key point of research. With the technique improvement, focus is mainly put on four aspects: flow visualization, vision measuring technique, speckle measurement and image processing. In modern industrial field, 3D-field measurement based on stereo vision is a new technique in vision measurement, especially in 3D contour and volume measurement has a wide prospect in application.The preliminary study about application of arithmetic based on stereo vision in PIV is carried out. The main work is as follows:Firstly, stereo vision system is introduced in detail, which consists of geometry point, system structure, system constitute and math model. Secondly, on the basis of stereo vision system structure and math model, image capture system is established, and hardware constitution is introduced. Thirdly, this paper mainly discusses camera calibration, feature extraction, stereo matching and 3D reconstruction, link the characteristic of particle image, selects appropriate algorithms, such as calibration of Zhang, phase correlation matching and 3D reconstruction, they form 3D particle image processing system. Finally, an experiment platform is developed on Matlab, it successfully implements critical parameters of spatial particle 3D information. The practical experiment verifies the result of measurement is good.更多还原