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VC＋＋中值滤波
- 数字图像中值滤波：数字图像处理常用算法，具体内容见Readme【《VisualC＋＋/Matlab图像处理与识别案例精选》】。-digital image filtering : digital image processing algorithms used, the specific content [see readme "Visual C + + / Matlab image processing and recognition of selected cases"
lessonresouse
- 程序代码说明 P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波
W-Filter
- 程序包括有维纳滤波，中值滤波，高斯变换，DFT变换等等图像滤波源代码-Procedures include Wiener filtering, median filtering, Gaussian transform, DFT transform source image filtering, etc.
picture_filter
- 图像的中值滤波和邻域滤波。基于matlab仿真通过，内附图片和仿真结果。-Image of the median filter and the filter neighborhood. Matlab-based simulation is passed, containing pictures and simulation results.
chap
- P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P030
1
- MATLAB实现中值滤波源代码,此文件为MATLAB做图像中值滤波的源代码，并且计算均方误差，归一化均方误差以及峰值信噪比-MATLAB median filter source code, the source code of this file for MATLAB image median filtering, and calculate the mean square error, normalized mean square error and peak signal-to-noise
adpmedian
- 图像自适应中值滤波 的matlab程序~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~输入图片，对图片执行自适应中值滤波，输出结果。matlab语言编写的程序。-Image Adaptive median filter matlab program ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ enter the picture, the picture perform adaptive median filt
adcode2
- matlab进行图像滤波,可中值，laplace-matlab for image filtering
filter
- matlab对图像随机添加四种噪声，然后分别通过自编中值滤波，均值滤波，高斯滤波，和维纳滤波进行滤波-matlab add four random noise to the image, and then were filtered by self median filtering, mean filtering, Gaussian filtering, and Wiener filtering
medial_filter
- 能够对二维普通图像进行中值滤波处理，MATLAB编程，适用于基础图像处理学习Can carry on the median filter to the two-dimensional ordinary image processing, MATLAB programming, suitable for learning based image processing-Can carry on the median filter to the two-dimensional ordinary ima