一种新型均值滤波器及在压力分布中的应用

Describe a new type of mean filter and its application in pressure distribution

提出了一种加入时间窗的时空自适应窗体中心加权的中值均值滤波算法,在自适应的时空滤波窗体内采用中心加权的中值选取并结合加权均值算法滤除压力分布中混合噪声。实验证明:该方法对于受椒盐噪声、高斯噪声污染比较严重的压力分布数据有较好的滤波效果,与小波、维纳滤波等其他线性滤波算法相比计算量要小得多。

A new center-weighted median and mean filter algorithm with self-adaptive time-space filter window was proposed. The algorithm combined weighted center median filter with weighted mean filter for denoising Gaussian noise and salt-pepper noise. The experimental results show that this algorithm can effectively remove the mixed noise in the pressure distribution data, while its computing time is less than that of other linear algorithms of wavelet, Wiener filter and so on.