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imageprocess
- 图像处理,包括形态学处理,傅里叶变换,二直化,均值滤波,高斯滤波等-Image processing, including morphological processing, Fourier transform, the second straight of the mean filter, Gaussian filtering
Filtering
- 时域滤波方法,频域滤波大全(包括中值滤波,均值滤波,理想低通,巴特沃斯低通 带通滤波器-Time-domain filtering, frequency domain filtering Daquan (including the median filter, mean filter, the ideal low-pass, Butterworth low-pass band-pass filter
tuxaingchulishiiyan
- 对一副测试图像进行加各种噪声,然后进行多帧平均,中值滤波,均值滤波,维纳滤波,理想低通滤波,巴特沃斯低通,带通滤波,自适应滤波九种方法处理,并分析结果,得出各种滤波方法的优缺点。包括实验报告-Plus a pair of test images of all kinds of noise, and then multi-frame averaging, median filtering, mean filtering, Wiener filter, the ideal low-pass filt
Code
- 改程序包里包含中值、均值滤波、自适应中值滤波和一种改进的椒盐噪声滤波程序,前三种是给第四种作对比的,第四种方法对椒盐滤除效果很好。-Change the program package contains the value, mean filtering, adaptive median filter and an improved impulse noise filtering program is the first three compare to the fourth, the four
滤波处理
- 滤波处理,包括最大值滤波、最小值滤波、中值滤波和平均值滤波!-filter processing, including filtering maximum and the minimum of filtering, median filtering and filtering average!
图像处理
- 维纳滤波,中值滤波,均值滤波,降噪的代码实现(Code implementation of Wiener filtering)
新建 Microsoft Word 文档
- 在照片中加入椒盐噪声、高斯白噪声。? 分别用3*3、5*5、7*7的均值滤波器和中值滤波器进行滤波。(Salt and white noise are added to the picture. The filter is used to filter the mean filter and median filter of 3 * 3, 5 * 5, 7 * 7.)
粒子滤波程序
- 通过寻找一组在状态空间中传播的随机样本来近似的表示概率密度函数,用样本均值代替积分运算,进而获得系统状态的最小方差估计的过程(By finding a set of random samples propagating in the state space to approximate the probability density function, the sample mean is used instead of the integral operation to obtain the
all_noise_average
- 分别对加入椒盐噪声和高斯噪声的图像通过均值滤波器进行滤波,输出滤波后的图像以及信噪比。(The images of adding salt and pepper noise and Gaussian noise are filtered by the mean filter respectively, and the filtered image and signal to noise ratio are output.)
Non-Local Means Filter
- 能够实现图像的预处理也就是去噪处理,比中值滤波、均值滤波效果都要好。(Can achieve the image preprocessing is denoising, than the median filter, mean filtering effect is better.)
EX2
- 图像的平滑滤波,基于均值滤波函数和中值滤波函数(Smooth filtering of images)
equalize_hist
- 1. 均值滤波:即线性滤波,有: a.邻域平均, b. 加权平均两种。 a. 邻域平均:用一个像素邻域平均值作为滤波结果,此时滤波器模板的所系数都取1,为保证输出图仍在原来的灰度值范围,在算得R后要将其除以系数总个数再进行赋值,对3*3的模板来说,在算得R后要将其除以系数9。 b. 加权平均:对同一尺寸的模板,可对不同位置的系数采用不同的数值,一般认为离对应模板中心像素近的像素应对滤波结果又较大贡献,所以接近模板中心的系数可比较大而模板边界附近的系数应比较小。(1. mean filter
blur
- 方框滤波、双边滤波、高斯滤波、中值滤波、均值滤波(medianBlur,bilateralFilter,GaussianBlur,blur,boxFilter)
NL-means
- 利用MATLAB实现了图像的非局部均值去噪算法,效果明显。(The non local means denoising algorithm of image is implemented by MATLAB, and the effect is obvious.)
中值滤波
- 中值滤波可以保留目标边缘,这是中值滤波器相对于均值滤波器的最大优势。中值滤波具有去噪的性能,可以消除孤立的噪声点,可以用来减弱随机干扰和脉冲干扰,但是边缘不模糊。(Median filter can retain the target edge, which is the maximum advantage of median filter compared to mean filter. The median filter has the performance of denoising, w
图像空域滤波(二)
- 1. 锐化滤波; 2. Sobel水平方向滤波与垂直方向滤波。 3. 对灰度图像执行均值平滑滤波; 4. 对灰度图像执行中值平滑滤波; 5. 中值平滑滤波与均值平滑滤波对比。
image-denoising
- 图像去噪算法研究,包括均值滤波、高斯滤波、中值滤波、自适应中值滤波、巴特沃斯低通滤波器、小波阈值去噪算法(Image denoising algorithms)
均值,中值,高斯,维纳滤波处理图像代码
- 采用均值滤波,中值滤波,高斯滤波,维纳滤波四种方法进行图像降噪处理(Mean filter, median filter, gaussian filter and wiener filter are used for image denoising)
干涉相位滤波(均值、中值、圆周期)
- 干涉相位滤波(均值、中值、圆周期)用于insar的三种不同滤波方法(Three different filtering methods for InSAR based on interferometric phase filtering (mean, median and circle period))
lvboeg
- 滤波的例子,包括低通、均值滤波,和简单的维纳滤波、自适应滤波,适合初学者学习。(Examples of filtering, including low-pass, mean filtering, and simple Wiener filtering, adaptive filtering, are suitable for beginners to learn.)