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中文摘要：
为提取颗粒图像的边缘，详细讨论非极大值抑制图像（NMS）灰度统计值的变化特点。提出一种基于颗粒图像的Canny算子双阈值计算方法。通过实验发现NMS图像中“谷”两端的灰度值为最佳双闽值。结果表明：该方法比已有的自适应算法更加准确．能够最大程度地去除噪声，保留有效边界。在图像法测量颗粒形态的过程中，该方法相对基于最大熵原理或Otsu方法的Canny算子更具有可靠性和稳定性。
英文摘要：
In order to get the clear boundary of particles, the changes of gray level for non-maxima suppression image （NMS） were discussed in detail and a new method on calculating the dual-threshold for Canny operator based on particle images was proposed. The gray values at both ends of valley fianction curve in NMS were found the perfect dual-threshold. Compared to Canny operator based on maximum entropy or Otsu, this method had much more reliability and stability in the application of particle measurement using image.
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HHT analysis of electrostatic fluctuation signals in dense-phase pneumatic conveying of pulverized c
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