摘要
针对气液两相流图像中的气泡黏连现象,提出了一种同时依据灰度和形状分布特性进行黏连气泡分割的图像处理算法.利用差影算法滤除背景干扰,依据形态梯度和自适应阈值分离前背景,得到预分割图像.基于面积重构顶改进变换滤除噪音能力强的特点,分别提取预分割图和距离灰度图中的峰值区域,融合后作为分水岭改进变换的标识,由此得到分水线,从而完成对黏连气泡的分割.实验结果表明,与现有的算法相比,该算法能够有效地分割开前背景和黏连气泡,具有分割效果好、分水线定位准确等优点.
A new algorithm was presented for segmenting overlapping bubbles in gas-liquid two phase flow images by using both intensity distribution and shape distribution information. After removing noise by the difference filtering arithmetic, the bubbles were separated from background to obtain the pre-segmentation image by using morphological gradient and adaptive threshold. The peak components in the presegmentation image and the distance-transformation image were extracted by area-reconstruction dome improved transform, and were fused to form markers image. An improved watershed transform was used to get waterline for every bubble. Experimental results show that the proposed method is very efficient in extracting the bubbles from the background and in segmenting the overlapping bubbles, and can get more exact waterline than the conventional methods.
出处
《浙江大学学报（工学版）》
EI
CAS
CSCD
北大核心
2006年第2期211-215,共5页
Journal of Zhejiang University：Engineering Science
基金
国家自然科学基金资助项目(60374051)
关键词
气液两相流
图像处理
面积重构
gas-liquid two phase flow
image processing
area reconstruction
