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/336521/12439492
m gaussmix.m
function [m,v,w,g,f,pp,gg]=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 paramet
www.eeworm.com/read/228372/14387921
m gaussmix.m
function [m,v,w,g,f,pp,gg]=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,xv,l,m0,v0,w0)
%
% Inputs: n data values, k mixtures, p parame
www.eeworm.com/read/15711/536123
m p0308.m
[I,map]=imread('eight.tif');
figure,imshow(I);title('original')
J1=imnoise(I,'gaussian',0,0.02); % 受高斯噪声干扰，结果如图3-17(b)所示
[K noise]=wiener2(J1, [5 5]);
figure,imshow(K); % 结果如图3-20所示
www.eeworm.com/read/465320/1520838
c gprune_heu.c
/**
* @file gprune_heu.c
* @author Akinobu LEE
* @date Thu Feb 17 05:44:52 2005
*
*
* @brief 寒圭ガウス尸邵纷换: Gaussian pruning (heuristic algorithm)
*
* gprune_heu()は寒圭ガウス尸邵礁圭の纷换ル〖チンの办つです
www.eeworm.com/read/465320/1520841
c gprune_safe.c
/**
* @file gprune_safe.c
* @author Akinobu LEE
* @date Thu Feb 17 05:28:12 2005
*
*
* @brief 寒圭ガウス尸邵纷换: Gaussian pruning (safe algorithm)
*
* gprune_safe()は寒圭ガウス尸邵礁圭の纷换ル〖チンの办つですˉ
www.eeworm.com/read/465320/1520847
c gprune_beam.c
/**
* @file gprune_beam.c
* @author Akinobu LEE
* @date Thu Feb 17 03:27:53 2005
*
*
* @brief 寒圭ガウス尸邵纷换: Gaussian pruning (beam algorithm)
*
* gprune_beam()は寒圭ガウス尸邵礁圭の纷换ル〖チンの办つですˉ
www.eeworm.com/read/430360/1931294
asv zhongzhilvbo.asv
I=imread('D:\数字图像作业——把该文件夹放在D盘\girl.bmp');
I=rgb2gray(I); % 将彩色图像转为灰度图像。
J= imnoise(I,'gaussian',0,0.02);
subplot(231),imshow(I);title('原图像');
subplot(232),imshow(J);title('添加高斯噪声图像'); %
www.eeworm.com/read/293936/8261854
m ostunoi.m
%用otsu法对含噪图象进行分割
C=imread('blwhite.jpg');
J=imnoise(C,'gaussian',0,400/(255*255));
subplot(1,3,1);imshow(C);title('原始灰度图像');
subplot(1,3,2);imshow(J);title('加高斯噪声的灰度图像')
count=imhist(J);%直方图统计
[
www.eeworm.com/read/393518/8280782
m gaussmix.m
function [m,v,w,g,f,pp,gg]=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 paramet
www.eeworm.com/read/458010/7314289
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