摘要
图像分割是多相流高速视频分析的前提和基础。本文基于改进的Canny算子给出一种泡状气液两相流的图像分割方法。该方法充分考虑原始图像的灰度分布信息,利用高斯Sigma平滑滤波器有效地保持了边缘及消除了噪声,通过梯度的非极大值抑制和滞后阈值化处理后,获得了清晰的气液两相流泡状流图像边缘,为泡状流流动特性分析奠定了分析基础。
Image segmentation is the foundation of multi-flow high-speed video analysis. Based on an improved Canny operator, this paper provides a method for bubble gas/liquid two-phase flow image segmentation, which takes more gray distribution information into account, uses the Gauss Sigma smooth filter to maintain edges and eliminate noise. After the non-Max control of grads and post-threshold processing, a clear bubble edge image is obtained. The method is much effective in the analysis and recognition of bubble multi-flow.
出处
《计算机工程与科学》
CSCD
北大核心
2009年第8期137-139,共3页
Computer Engineering & Science
基金
博士后基金资助项目(20070410757)
国家自然基金资助项目(50674070)