中南大学学报（自然科学版）2018，Vol.49Issue(6)：1541-1547,7.DOI:10.11817/j.issn.1672-7207.2018.06.030
底吹过程中基于图像处理技术的气泡直径分布特性
Bubble size distribution in bottom blowing process based on image processing technology
摘要
Abstract
In order to obtain the bubble size distribution in bottom blowing process, the bubble size in water was extracted and analyzed based on high-speed photography and image processing technology. Firstly, the original images were preprocessed and converted into binary images. Then, the roundness of bubbles was extracted to separate bubble objects into solitary bubbles, small overlapping bubbles and large overlapping bubbles. The overlapping bubbles were segmented into solitary bubbles by using improved watershed algorithm. Finally, the bubble size distribution of all bubbles was extracted and analyzed. The results show that with the bubble coalescence and breakups, a large number of small bubbles coexist with a few numbers of medium bubbles and large bubbles in water. The correlation between the number of bubbles and bubble diameter has nearly a hyperbolic shape. With the increase of the gas flow rate, the number of small bubbles increases sharply, and the bubble is larger. The Sauter mean diameter and the maximum diameter increase with the increase of gas flow rate, andCwhich is defined as the ratio of Sauter mean diameter and the maximum diameter has an average value of 0.72.关键词
图像处理技术/气泡直径分布/改进分水岭分割算法/Sauter直径Key words
image processing technology/bubble size distribution/improved watershed algorithm/Sauter mean diameter分类
数理科学引用本文复制引用
陈日健,闫红杰,刘柳,肖俊兵,宋彦坡..底吹过程中基于图像处理技术的气泡直径分布特性[J].中南大学学报（自然科学版）,2018,49(6):1541-1547,7.基金项目
国家自然科学基金资助项目(51676211)(Project(51676211) supported by the National Natural Science Foundation of China) （51676211）
