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/357171/10214160

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/356085/10237362

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/161915/10357298

m image_denoise.m

clear %装入图像 load tire; subplot(221); %画出原图象 image(X); colormap(map) title('原始图像'); axis square init=2055615866; randn('seed',init) x=X+38*randn(size(X)); subplot(222); %画出含噪声图象 image(x);
www.eeworm.com/read/160256/10548324

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/159906/10591192

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/159906/10591463

asv 10-12.asv

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/159906/10591472

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/159191/10681374

htm ex12-20.htm

onerror事件演示
www.eeworm.com/read/469046/6984150

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/469046/6984231

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,