高斯函数能构成一个在频域具有平滑性能的低通滤波器。可以通过在频域做乘积来实现高斯滤波。-Constitute a Gaussian function to the frequency domain with a smooth performance of the low-pass filter. Can be done in the frequency domain Gaussian filter to achieve the product.

数字图像处理中的平滑和锐化（边缘检测）。包括1、添加椒盐、高斯噪声。2对噪声污染的图像分别使用邻域平均法、中值滤波法、K邻近平均法进行平滑。3对一幅图像利用Roberts梯度法、Sobel算子和拉普拉斯算子进行锐化，并比较结果。附处理源图像和处理结果截图。 -Digital image processing smoothing and sharpening (edge detection). Including 1, add salt and pepper, Gaussian noise.

在matlab上实现一种经高斯平滑的边缘检测算法-In matlab by Gaussian to achieve a smooth edge detection algorithm

领域平均滤波与中值滤波，Matlab6.5实现的.m文件，附有原图、椒盐噪声图、高斯噪声图和处理过的图的效果比较。-The area of average filtering and median filtering, Matlab6.5 of implementation. M files with artwork, Salt and Pepper Noise Figure, Gaussian noise maps and plans of treatment have been more e