代码搜索：图像加密
找到约 10,000 项符合「图像加密」的源代码
代码结果 10,000
www.eeworm.com/read/15711/536121
m p0304.m
I=imread('pout.tif'); % 读取MATLAB自带的potu.tif图像
imshow(I);
figure,imhist(I);
[J,T]=histeq(I,64); % 图像灰度扩展到0~255，但是只有64个灰度级
figure,imshow(J);
figure,imhist(J);
figure,plot((0:255)/255,T)
www.eeworm.com/read/38039/1090940
mnu env_wire.mnu
ENV#WIRE 线环境
Wireframe 线框
Display all images as wire frame models (no hidden lines removed).
所有的图像将以线框形式显示（不删除隐藏线）
Hidden#line 隐藏线
Display all images with hidden lines in grey.
显示图像时,隐藏线为灰色.
No#hidd
www.eeworm.com/read/378175/2689866
m example7_1.m
load xpmndrll
image(X2)
title('原始彩色索引图像')
colormap(map);
colorbar
%================================
%分解彩色索引图像为RGB分量
R=map(X2,1);
R=reshape(R,size(X2));
G=map(X2,2);
G=reshape(G,size(X2));
B
www.eeworm.com/read/367675/2832810
m example7_1.m
load xpmndrll
image(X2)
title('原始彩色索引图像')
colormap(map);
colorbar
%================================
%分解彩色索引图像为RGB分量
R=map(X2,1);
R=reshape(R,size(X2));
G=map(X2,2);
G=reshape(G,size(X2));
B
www.eeworm.com/read/194957/8182354
m 例9-18 .m
％首先利用edge函数计算二进制图像的边界
I = fitsread('solarspectra.fts');
I = mat2gray(I);
BW = edge(I);
imshow(I), figure, imshow(BW)
％接着计算边界图像的Radon变换
theta = 0:179;
[R,xp] = radon(BW,theta);
figure, imagesc(
www.eeworm.com/read/393857/8259043
m a60.m
load xpmndrll
image(X2)
title('原始彩色索引图像')
colormap(map);
colorbar
%================================
%分解彩色索引图像为RGB分量
R=map(X2,1);
R=reshape(R,size(X2));
G=map(X2,2);
G=reshape(G,size(X2));
B
www.eeworm.com/read/366977/9786603
m p0304.m
I=imread('pout.tif'); % 读取MATLAB自带的potu.tif图像
imshow(I);
figure,imhist(I);
[J,T]=histeq(I,64); % 图像灰度扩展到0~255，但是只有64个灰度级
figure,imshow(J);
figure,imhist(J);
figure,plot((0:255)/255,T)
www.eeworm.com/read/248889/12535804
m zaosheng.m
I1=imread('C:\Documents and Settings\lishurui\桌面\lena.bmp');
subplot(2,2,1);
imshow(I1);
title('原始图像');
I2=imnoise(I1,'salt & pepper',0.02);
subplot(2,2,2);
imshow(I2);
title('噪声图像');
f=double
www.eeworm.com/read/248889/12535823
m ditong.m
I1=imread('C:\Documents and Settings\lishurui\桌面\DRAGON_256_1.bmp');
subplot(2,2,1);
imshow(I1);
title('原始图像');
I2=imnoise(I1,'salt & pepper',0.02);
subplot(2,2,2);
imshow(I2);
title('噪声图像');