本文针对 我们在 烧结生产 综合质 量检测的 课题研究 中，对烧 结机尾断 面图 象实时处理 的要求，提出一 种基于模糊 逻辑推理的图 象平滑算法 。与传统的平 滑算法相比， 在消除噪声 的同时 ， 也保存 了图 象细节 信息； 与其 它一 些模 糊逻 辑推 理平 滑算法 相比 ，具有 实现 简单，运算 速度快的特点 ，特别适合对 图象的适时 处理。本文算 法已成功地应 用到烧结机 尾断面图象的 处理中。 In this paper, in our research on the comprehensive quality testing of sintering production, we propose an image smoothing algorithm based on fuzzy logic inference to the requirements of the real-time processing of sinter tail section images. Compared with the traditional smoothing algorithm, the image detail information is also saved while eliminating the noise. Compared with some other fuzzy logic reasoning and smoothing algorithms, the invention has the advantages of simple implementation and fast computing speed, and is particularly suitable for the timeliness of images deal with. The algorithm of this paper has been successfully applied to the processing of sinter tail section images.