对三维流场测量方法的研究在科学与工程技术领域上都具有十分重要的意义，尤其是微尺度流动的测量，目前在传热传质研究中受到极大关注。图像法是流场在线测量的重要方法，以应用广泛的粒子成像测速(PIV）法为典型代表。已有的三维流场信息获取方法主要有扫描法、体视法和全息法，但基于上述方法的仪器不仅价格十分昂贵，操作要求也非常高，图像后处理过程复杂。基于单相机的测量方法开拓了流场测量研究的新方向。与常规的通过清晰成像获取粒子信息的方法不同，本申请提出研究基于单相机混合模糊成像的三维流场测量新方法，利用CCD相机的模糊成像特性拍摄同时存在离焦模糊与运动模糊的流场图像，研究模糊参数综合识别方法，以获取颗粒空间位置和三维运动速度等信息，进而得到三维流场。基于该方法的测量装置只需一台相机，可极大简化流场测量系统，能够应用于实验室、工业现场以及目前PIV等无法测量的一些场合。

Study of 3D flow field measuring approach is valuable to both science research and engnieering application. Especailly measurement of the micro-scale flow raises a wide concern in present mass and heat transfer researches. The most important in-situ method in flow field measurement is based on image, typically such as widely used particle image velocimetry (PIV). The current methods to obtain the information of 3D flow field mainly are scanning, stereoscopic and holographic methods. But with the costly instrumentation those methods are not only diffcult to opreation but also complex in image process. The method based on a single camera develops a new direction for research of flow field measurement. This proposal describes a novel approach for measuring 3D flow field based on mixing blurred images from a single camera, which is different from conventional method to obtain the particle information through clear images. This approach uses a CCD camera to capture the both defocus blurred and motion blurred images. With comprehensively identifying the blur parameters, the particle spatial position as well as motion velocity can be derived and extended to obtain a 3D flow field. This suggested approach only needs a single camera, which greatly simplifies flow measurement system and suits the laboratory research, industry site application, as well as some suituation unreachable by PIV.