论文标题
增强粒子图像速度计图像
Enhancement of Particle Image Velocimetry Images
论文作者
论文摘要
粒子图像速度法（PIV）是一种可视化流并定量绘制流量的方法。它用于获得瞬时速度，涡度，差异，剪切等。 PIV和这些技术之间的主要区别在于PIV产生二维或三维矢量场。 PIV使用两个图像序列（帧），将帧分为大量的审讯窗口。借助自动相关或互相关技术，为每个窗口计算位移矢量。在这些过程中缺少数据会导致结果不准确。为了克服这一点，使用了预处理技术，例如直方图均衡和强度剪辑来增强PIV图像以获得准确的结果。
Particle Image Velocimetry (PIV) is a method to visualize the flows and quantitatively map the flows. It is used to obtain the instantaneous velocity, vorticity, divergence, shear in fluids, etc. Laser Doppler velocimetry and hot wire anemometry are other techniques that are used to measure the flow. The main difference between PIV and those techniques is that PIV produces two-dimensional or three-dimensional vector fields. PIV uses two sequences of images (frames) and the frames are split into a large number of interrogation windows. The displacement vector is calculated for each window with the help of auto-correlation or cross-correlation techniques. Missing data during these processes leads to inaccurate results. To overcome this, preprocessing techniques such as histogram equalization and intensity clipping are used to enhance the PIV images to obtain accurate results.
