代码搜索:gaussian
找到约 7,040 项符合「gaussian」的源代码
代码结果 7,040
www.eeworm.com/read/449573/7500441
m dghm.m
flt='ghm';fltap='ghmap'; %使用的多小波和预滤波器
deimg='c:\denoise\lena512.bmp'; %要处理的图像
img=imread(deimg); %从c:\noise目录下读入图像
%cc=0.0384;img1=imnoise(img,'gaussian',0,cc);
%在某些论文中,都说加入了sigma=??的噪声,例如
www.eeworm.com/read/440750/7682272
m gaussmixp.m
function [m,v,w,g,f,gg,pp,mi,pm]=gaussmix(x,c,l,m0,v0,w0)
%GAUSSMIX fits a gaussian mixture pdf to a set of data observations [m,v,w,g,f]=(x,c,l,m0,v0,w0)
%
% Inputs: n data values, k mixtures, p p
www.eeworm.com/read/433313/7942028
m dghm.m
flt='ghm';fltap='ghmap'; %使用的多小波和预滤波器
deimg='c:\denoise\lena512.bmp'; %要处理的图像
img=imread(deimg); %从c:\noise目录下读入图像
%cc=0.0384;img1=imnoise(img,'gaussian',0,cc);
%在某些论文中,都说加入了sigma=??的噪声,例如
www.eeworm.com/read/213910/15122489
m tv2_woman.m
x=imread('barbara.bmp');
x=double(x);
x=imcrop(x,[257 1 255 255]);
I=x;
[M N]=size(x);
x=imnoise(x(:,:),'gaussian',0,0.02);
f(2:M+1,2:N+1)=I;
f(:,1)=f(:,2);f(:,N+2)=f(:,N+1);
f(1,:)=f(2,:);f(M
www.eeworm.com/read/477111/1364023
m sumarize11_5_4b.m
%载入图像
RGB = imread('saturn.png');
%RGB转换为灰度图
I = rgb2gray(RGB);
%加入高斯白噪声
J = imnoise(I,'gaussian',0,0.005);
%采用自适应滤波
K = wiener2(J,[5 5]);
%显示原始图像、加入噪声的图像以及滤波后的噪声
imshow(I)
figure,imshow(J)
www.eeworm.com/read/466484/1510688
m sumarize11_5_4b.m
%载入图像
RGB = imread('saturn.png');
%RGB转换为灰度图
I = rgb2gray(RGB);
%加入高斯白噪声
J = imnoise(I,'gaussian',0,0.005);
%采用自适应滤波
K = wiener2(J,[5 5]);
%显示原始图像、加入噪声的图像以及滤波后的噪声
imshow(I)
figure,imshow(J)
www.eeworm.com/read/465320/1520839
c gms.c
/**
* @file gms.c
* @author Akinobu LEE
* @date Thu Feb 17 14:52:18 2005
*
*
* @brief Gaussian Mixture Selection による觉轮锑刨纷换
*
* 悸刘数恕についてはソ〖ス柒のコメントをご枉くださいˉ
*
*
*
* @br
www.eeworm.com/read/218114/4864265
m sumarize11_5_4b.m
%载入图像
RGB = imread('saturn.png');
%RGB转换为灰度图
I = rgb2gray(RGB);
%加入高斯白噪声
J = imnoise(I,'gaussian',0,0.005);
%采用自适应滤波
K = wiener2(J,[5 5]);
%显示原始图像、加入噪声的图像以及滤波后的噪声
imshow(I)
figure,imshow(J)
www.eeworm.com/read/304591/3796170
m sumarize11_5_4b.m
%载入图像
RGB = imread('saturn.png');
%RGB转换为灰度图
I = rgb2gray(RGB);
%加入高斯白噪声
J = imnoise(I,'gaussian',0,0.005);
%采用自适应滤波
K = wiener2(J,[5 5]);
%显示原始图像、加入噪声的图像以及滤波后的噪声
imshow(I)
figure,imshow(J)
www.eeworm.com/read/402141/2332643
m sumarize11_5_4b.m
%载入图像
RGB = imread('saturn.png');
%RGB转换为灰度图
I = rgb2gray(RGB);
%加入高斯白噪声
J = imnoise(I,'gaussian',0,0.005);
%采用自适应滤波
K = wiener2(J,[5 5]);
%显示原始图像、加入噪声的图像以及滤波后的噪声
imshow(I)
figure,imshow(J)