采用动态阈值技术实现了对气泡图像的正确分割，利用灰度加权方法提高了气泡颗粒的定位精度。
The images of bubbles in flow were segmented by means of dynamic threshold technology and gray weighted method was used to improve the precision of locating the central positions of bubbles.
以全局阈值为基础，用邻域平均灰度与全局阈值之差的加权值对其进行调整，从而形成一种新的动态阈值分割法。
Based on global threshold, a new dynamic thresholding approach is proposed which is adjusted with th weighting of the difference between neighbor average grey and global threshold.
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