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算子双闻值计算方法.通过实验发现NMS图像中"谷"两端的灰度值为最佳双阚值.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.%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 function 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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