Following that the Gaussian noises are filtered out by symmetrical-neighbor mean filtering.
其次滤除受高斯噪声污染的像素点，采用对称近邻均值滤波算法。
Finally, the comparison of weighted mean filtering and other improved algorithms proves the effectiveness of the algorithm.
最后，通过与中值滤波和其他一些改进算法的滤波效果比较，证明了该算法的有效性。
The algorithm and mean filtering algorithm are applied in lidar data, and their results are compared in different evaluation parameters.
运用此算法和传统均值算法对激光雷达数据进行了处理，并且使用多种指标对处理结果进行了比较。
According to the changes of gray value range of images pollute by salt and pepper noise, this paper proposed an improved weighted mean filtering algorithm.
根据椒盐噪声污染图像灰度值取值范围的变化，提出了一种改进的加权均值滤波算法。
Image denoising experiments show that wavelet transform for image denoising is better than mean filtering, no significant difference compared with median filter.
图像的消噪实验表明，小波变换用于图像消噪效果优于均值滤波，与中值滤波去噪相比无明显差别。
The algorithm, median filtering algorithm, and mean filtering algorithm are applied in remote sensing image, and their results are compared in different evaluation parameters.
运用此算法和传统的中值滤波算法以及均值算法一并对遥感影像进行了处理，并且使用多种指标对处理的结果进行了比较。
The result shows that the proposed algorithm has some improvement in keeping the advantage of mean filtering algorithm under the condition of preserving unclear edges of the image.
结果表明，该算法既保持了传统均值滤波的优点，又改进了对弱边缘目标的保护。
Image preprocessing is usually consisted of following steps: quality assessment, mean filtering, gray normalization, gray equalization, the Oriental filtering, binarization as well as thinning.
指纹预处理一般包括以下几个步骤：图像质量评估、均值滤波、灰度归一化、灰度均衡化、方向滤波、二值化以及细线化。
In the research of image processing, this paper clears away noises to lift the image clarity aimed at the noise arisen in engineering drawing by means of mean filtering and medium filtering etc.
图像处理方面，针对工程图纸图像中出现的噪声类型，本文采用均值滤波和中值滤波等方法消除噪声，提高了图像的清晰度。
In the research of image processing, this paper clears away noises to lift the image clarity aimed at the noise arisen in engineering drawing by means of mean filtering and medium filtering etc.
图像处理方面，针对工程图纸图像中出现的噪声类型，本文采用均值滤波和中值滤波等方法消除噪声，提高了图像的清晰度。
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