摘要
为了高效获得颗粒的速度分布,提出一种针对单帧单曝光图像的图像处理方法和流场重构方法。图像处理过程包含去噪、锐化、自适应阈值分割、闭运算、去除小颗粒、骨架提取、速度提取、二义性判断、求切线等步骤和方法,对该处理过程的主要误差也进行了分析与修正。流场重构使用了基于RBF(Radial Basis Function)插值且采用迎风插值进行优化的算法,插值结果以速度云图及矢量图的形式展示,对该过程的主要误差也进行了分析与验证。最后的处理结果显示,针对单帧单曝光图像的图像处理方法和流场重构方法具有可行性。
The aim of the present study is to develop an efficient image processing approach and flow field reconstruction method to obtain the particles velocities distributions from a single frame and single exposure image (SFSEI). The image processing approach contains de-noising, laplacian sharpening, adaptive threshold segmentation, close operation, removing of small particles and skeletonizing;the velocity calculating algorithm contains velocity calculating, ambiguity estimating, tangent vector calculating. The error produced by these methods is calculated. The flow field reconstruction approach is based on RBF (Radial Basis Function) interpolation and optimized by windward interpolation, the deviation of the reconstruction method is also calculated. A processing example using jet flow image demonstrates that the algorithm is practicable.
作者
吴凡
周骛
蔡小舒
Wu Fan;Zhou Wu;Cai Xiaoshu(Institute of Particle and Two-phase Flow Measurement Technology,University of Shanghai for Science and Technology,Shanghai200093,China)
出处
《实验流体力学》
EI
CAS
CSCD
北大核心
2019年第4期100-107,共8页
Journal of Experiments in Fluid Mechanics
基金
国家自然科学基金面上项目(51576130)
关键词
单帧单曝光
多帧连续曝光
骨架提取
轨迹处理
流场重构
single frame and single exposure
multiple frame and continuous exposure
skeletonize
trajectory processing
flow field reconstruction
