论文部分内容阅读
在烧结机尾图象处理系统中，为消除图象摄取所带来的非线性，需对图象进行补偿。传统的图象补偿方法基本上可分为两类，即空间域法和频率域法。这些传统的补偿算法应用广泛，实现简单。但他们都使某些图象细节模糊。近年来模糊逻辑已成功地引入图象处理领域，本文研究将模糊逻辑推理应用于图象的补偿，对现有的此类补偿算法进行了改进，并成功地应用到烧结机尾断面图象的处理中。
In the sintering machine tail image processing system, in order to eliminate the non-linearity caused by image pickup, the image needs to be compensated. The traditional methods of image compensation can be basically divided into two categories, namely the spatial domain method and the frequency domain method. These traditional compensation algorithms are widely used and simple to implement. But they all blur some of the details of the image. In recent years, fuzzy logic has been successfully introduced into the field of image processing. In this paper, fuzzy logic reasoning is applied to the image compensation. The existing compensation algorithms are improved and applied to the tail end of the sintering machine Processing.