目的 有效滤除泡罩药品包装视觉检测系统中的图像噪声，以保证后续泡罩包装药品的图像分割、特征提取等任务顺利开展。方法 分析引导滤波的数学模型，并在此基础上对其进行改进，提出一种自适应高斯引导的新型泡罩药品包装图像滤波算法。采用更加理性的参数优化算法，且用高斯窗口来代替传统的盒窗口。结果 自适应高斯引导滤波算法能够有效滤除图像中的噪声，同时最大程度地保留原始图像中的边缘和细节等信息。结论 该算法对后期泡罩药品包装的图像处理和分析有一定的指导意义。

The work aims to effectively filter out the image noise in the visual inspection system of bubble cap drug package, to ensure that such tasks as image segmentation and feature extraction of subsequent drugs with bubble cap package are smoothly carried out. The mathematic model of guidance filtering was analyzed and improved based on such analysis. A new adaptive Gaussian-guided image filtering algorithm for bubble cap drug package was proposed. A more rational parameter optimization algorithm was adopted and the Gauss window was used to replace the traditional box window. The simulation results showed that the adaptive Gauss-guided filtering algorithm could effectively remove the noise in the image, while preserving the edge and details, etc. of the original image to the maximum extent. The proposed algorithm has certain guidance significance for the image processing and analysis of bubble cap drug package at later stage.