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基于改进Canny算子的气液两相泡状流图像分割算法
Bubble Image Segmentation of Gas/Liquid Two-Phase Flow Based on Improved Canny Operator
【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。
【Abstract】 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.
【关键词】 气液两相流;
图像分割;
Canny算子;
高斯平滑滤波;
【Key words】 gas/liquid two-phase flow; image segmentation; Canny operator; Gauss smooth filter;
【Key words】 gas/liquid two-phase flow; image segmentation; Canny operator; Gauss smooth filter;
【基金】 博士后基金资助项目(20070410757);国家自然基金资助项目(50674070)
- 【文献出处】 计算机工程与科学 ,Computer Engineering & Science , 编辑部邮箱 ,2009年08期
- 【分类号】TP391.41
- 【被引频次】4
- 【下载频次】190