目的 提高阈值法在纸病检测系统中的通用性。方法 通过实验法获取不同时间段图像灰度数据，依据获取数据的时间段对图像灰度数据进行分类，求得相应时间段的灰度最大平均值、灰度最小平均值、总体灰度平均值以及灰度标准差，应用图表分析法对图像灰度的各种数据进行对比分析，总结出图像灰度变化规律，使用Visual studio 2015进行编程并验证。结果 实验结果显示此方案可以较好地适应外界光线的变化，提高纸病检测系统的鲁棒性。结论 基于模糊逻辑的纸病检测动态阈值设置方案，可以有效提高阈值法在纸病检测系统中的通用性。

The work aims to improve the generality of threshold method of paper disease detection system. Firstly, the image gray-scale data were obtained by experiment and were classified according to different time periods. Secondly, the maximum average value, the minimum average value, the average value of overall gray-scale and the standard deviation of image grey-scale data were calculated. Finally, the graph analysis method was used to compare and analyze data on grey-scale of image, summarize the regular pattern of the change of image gray-scale value and complete programming and verification by Visual studio 2015. The experiments showed that the proposed method can significantly adapt to the changes of external light, and improve the robustness of paper disease detection system. The dynamic threshold setting scheme of paper disease detection based on fuzzy logic can effectively enhance the universality of the paper disease detection system.