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LIC 线卷积，和其他卷积
- L IC 方法是基于矢量方向的相关性来对噪声纹理进行低通滤波，最终显示相关性
BM3D.rar
- 图像去噪，是目前图像处理领域对高斯白噪声效果最好的去噪算法,image denoising
edge
- C#编写的边缘检测程序，集合了常用的边缘检测算法，高斯，形态学，小波，Canny 等等。-edge-detect algorithms with C#, including useful methods. For example,Gaussian, wavelet,morphology,Canny and etc.
smooth
- C# 编写的图形去噪平滑的例子，集中了常用的平滑和去噪的算法，比如中值滤波，小波，形态学，高斯等。-2D-image denoise and smooth algorithms with C#, including many useful methods.
colortextureseg
- 高斯滤波用于颜色恒常性算法中，提高了算法的稳定性和精确度，在计算机视觉中得到广泛的应用。-Gaussian filtering algorithm for color constancy algorithm is improved stability and accuracy in computer vision has been widely used
bcs_vb
- 利用贝叶斯恢复算法，实现采样后的数据的高精度恢复重建-Bayesian restoration algorithm, the precision of the data to achieve sampling recovery and reconstruction
DG_AVE
- 视频图像的滤波，算法比较简单，可以有效的滤除掉图像的高斯噪声、椒盐噪声-Video image filtering algorithm is relatively simple, and can be eliminated effectively image Gaussian noise, salt and pepper noise
Matlab-program-gray-edge-detection
- 本文主要讨论获得图片后如何提取其边界信息，首先利用图像灰度均匀化解决了对比度不清晰的问题，然后利用高斯滤波法对图片进行滤波去噪，进而利用Canny算法实现边缘检测提取边界，该方法与Matlab自带的求边界方法有明显的提高，为利用Matlab程序求图像分形维数提供了更精确的前提。-This article focuses on how to get the image to extract the boundary information, the first to use to the gray
corner-detection
- 数字图像处理 哈里斯脚点检测算法实现 图形界面完全 先高斯滤波 在监测角点-image processing Harris coner dection GUssian filter
1111
- matlab--巴特沃斯高通滤波算法来增强图像-Matlab, butterworth high pass filter algorithm to enhance image
filters
- 几种二维滤波算法的MATALB实现，以及图像RGB值得提取，高斯金字塔程序-MATALB realization of several two-dimensional filtering algorithms, as well as RGB value extracting, Gaussian pyramid program
sift
- SIFT算法是在不同的尺度空间上查找关键点,而尺度空间的获取需要使用高斯模糊来实现,Lindeberg等人已证明高斯卷积核是实现尺度变换的唯一变换核-SIFT algorithm is to find the key points on the different scales of space and capture scale space requires the use of a Gaussian blur to achieve, Lindeberg, who has proved a G
NL-MEANS
- NL-MEANS图像去噪算法。 该算法对于灰度图像的高斯白噪声的去除效果极好，但是在计算时间上耗时较高。本程度对于256*256的灰度图像，约在30s以上。 运行，请输入“main”。-NL-means algorithm is a good way for grey image denoising on AWN, but it has high cost on the computation. The program here may cost beyond 30s for 256
EM
- 用kmeans初始化em算法，并用高斯回归进行拟合，用于图想的聚类-Kmeans initialization using EM algorithm, and the use of Gauss regression fitting, used to map the clusterin