代码搜索:图像法

找到约 10,000 项符合「图像法」的源代码

代码结果 10,000
www.eeworm.com/read/188543/8529916

m 10-12.m

load sinsin % 打开原始图像 init = 2055615866; randn('seed',init); x = X/18 + randn(size(X)); % 产生噪声图像 % 用wpdencmp函数除噪 [thr,sorh,keepapp,crit] = ddencmp('den','wp',x); % 计算缺省值 xd = wpdencmp(x,sorh,
www.eeworm.com/read/389274/8536958

m example76_result.m

%%%example76_result %%%%imread the image samples figure('name','测试图像','numbertitle','off'); imgx=imread('example76_imgx.bmp'); subplot(1,3,2),imshow(rgb2gray(imgx)); figure('name','测试图像特征提取',
www.eeworm.com/read/378041/9253073

m 9-11.m

RGB = imread('flowers.tif'); HSV = rgb2hsv(RGB); subplot(121) imshow(RGB) title('原RGB图像') subplot(122) imshow(HSV) title('变换后的HSV图像') %由于色图独立开来,因而没有色图间的影响
www.eeworm.com/read/378041/9253155

m 10-12.m

load sinsin % 打开原始图像 init = 2055615866; randn('seed',init); x = X/18 + randn(size(X)); % 产生噪声图像 % 用wpdencmp函数除噪 [thr,sorh,keepapp,crit] = ddencmp('den','wp',x); % 计算缺省值 xd = wpdencmp(x,sorh,
www.eeworm.com/read/365868/9842502

m example12_2.m

function edgedemo(action, varargin) % 子函数: % InitializeEDGEDEMO - 初始化图像、控件、轴 % ComputeEdgeMap - 调用edge.m计算原始图像的边缘图 % SelectMethod - 选取边缘检测算法,并使相应的控件有效或无效 % LoadNewImage - 读入选
www.eeworm.com/read/359506/10141010

htm 21.7.htm

图像效果 图像显示效果
www.eeworm.com/read/163075/10176928

asv fname.asv

X=imread('pollenlow.bmp'); %装载图像信号 whos figure(1); imshow(X); %显示图像 X=im2double(X); init=2788605826; rand('seed',init); Xnoise=X+0.1*(rand(size(X))); figure(2); image(wcodemat(Xnoise,192)); c
www.eeworm.com/read/163075/10176929

m untitled5.m

X=imread('lena.bmp'); %装载图像信号 whos figure(1); imshow(X); %显示图像 X=im2double(X); init=2788605826; rand('seed',init); Xnoise=X+0.2*(rand(size(X))); figure(2); image(wcodemat(Xnoise,192)); colorm
www.eeworm.com/read/163075/10176930

m fname.m

X=imread('lena.bmp'); %装载图像信号 whos figure(1); imshow(X); %显示图像 X=im2double(X); init=2788605826; rand('seed',init); Xnoise=X+0.2*(rand(size(X))); figure(2); image(wcodemat(Xnoise,192)); colo
www.eeworm.com/read/357171/10214145

m 10-12.m

load sinsin % 打开原始图像 init = 2055615866; randn('seed',init); x = X/18 + randn(size(X)); % 产生噪声图像 % 用wpdencmp函数除噪 [thr,sorh,keepapp,crit] = ddencmp('den','wp',x); % 计算缺省值 xd = wpdencmp(x,sorh,