现代电子技术2016，Vol.39Issue(17)：23-25,3.DOI:10.16652/j.issn.1004-373x.2016.17.006
基于SSIM算法的动态空化图像处理
Dynamic cavitation image processing based on SSIM algorithm
摘要
Abstract
In the cavitation water tunnel experiment,the shape,fluctuation period and other important information of the cavitation area are needed to correctly acquire in a large number of digital images. Several common image edge extraction algo⁃rithms are compared,and the Canny operator is selected to extract the vacuole structure information. The feasibility of using SSIM algorithm to analyze the cavitation image is studied,and a better effect is obtained by adjusting the proportion of structure similarity reasonably. In addition,the cyclic batch program of the images was designed and realized with Matlab programming. The operation results show that the analysis of taking the structure coefficient as the main characteristics of the correlation coeffi⁃cient can acquire the shape,fluctuation period and other information of the cavitation region more accurately,and it is benefi⁃cial to dynamic analysis of the cavitation morphology. For a series high speed camera images with cavitation number of 0.4,the correlation coefficient changes in 0.375~0.315,and the fluctuation frequency of cavitation is about 115 Hz.关键词
水洞实验/空化图像/SSIM算法/结构相似度Key words
water tunnel experiment/cavitation image/SSIM algorithm/structure similarity分类
信息技术与安全科学引用本文复制引用
昝晶,马少杰,屠江锋..基于SSIM算法的动态空化图像处理[J].现代电子技术,2016,39(17):23-25,3.基金项目
国家自然科学基金资助项目 （）
