基于MATLAB图像处理算法的风沙两相流PIV图像的分割方法  

A Segmentation Method of PIV Images of Wind-sand Two-phase Flow based on MATLAB Platform

作　　者：蒋缠文[1] 梅凡民[1] 王晓艳[1] 

机构地区：[1]西安工程大学环境与化学工程学院,陕西西安710048

出　　处：《中国沙漠》2011年第2期367-371,共5页Journal of Desert Research

基　　金：国家自然科学基金项目(40975094;50823002);国家重点基础研究规划项目(2006CB403701)共同资助

摘　　要：为了深入理解沙粒起动的力学机制,需要从风洞实验中同步地获得风沙边界层中沙粒群和气流的瞬时速度信息。基于MATLAB平台的风沙两相流PIV图像分割的方法,利用沙粒群和气流示踪粒子特征粒径的显著差异,对风沙两相流PIV图像中的气固两相流进行图像分割,可分别获得沙粒群和气流示踪粒子的图像,并进一步对分离后的两相粒子按粒径进行分级分离,得到各级粒径粒子PIV图像,为进一步恢复气固两相流的流场奠定了基础。In order to deeply understand the mechanical mechanism of sand particles movement,it is fundamental to acquire both instantaneous sand particles velocity and instantaneous airflow velocity simultaneously during wind tunnel test.This paper developed a segmentation method of two-phase flow PIV images based on MATLAB platform.The fundamental principle of this method lies in distinguishing sand particles from airflow tracing particles by particles＇ sizes of two-phase flow PIV images.This method can clearly segment the two-phase flow PIV images,and also can distinguish particles of different sizes from PIV images.The method will be a effective tool for retrieving simultaneously wind-sand two-phase flow fields.

关 键 词：图像处理 PIV 风沙两相流 沙粒群 示踪粒子 MATLAB 

分 类 号：X169[环境科学与工程—环境科学] TP191.41[自动化与计算机技术—控制理论与控制工程]