改进的自适应均值滤波算法及应用

Improved Means of Adaptive Filtering Algorithms and Applications

燃煤锅炉的燃烧过程复杂且不稳定,监视系统的图像可能受到各种噪声的干扰,针对此问题,提出一种改进的自适应均值滤波算法。此算法利用自适应阈值和图像的全局统计特性对滤波系数加以优化。实验结果表明,该方法可以更有效地减少噪声,并可以保护图像的边缘信息。由于阈值选取具有自适应性,可推广应用到其它去噪领域。

Coal-fired boiler combustion process is complex and unstable. The monitoring system image includes a lot of noise signals from different hands. In allusion to this question, an improved algorithm for the adaptive mean filter is proposed. Resuls show that this method applies a new algorithm based on adaptive threshold and characteristic of the whole image to optimize coefficients of filter, which can suppress noise efficiently and preserve edge details of image at the same time. Because of the adaption of the threshold, this method could be expanded to other domains.