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/417736/10978081

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/271157/11005195

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/464351/7164847

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/464287/7166776

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/460016/7258932

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/455754/7366382

m ksw_qiongju.m

%%%利用最佳直方图熵法(KSW熵法)及穷举法实现灰度图像阈值分割 %%%主程序 %%初始部分,读取图像及计算相关信息 clear; close all; clc; I=imread('rice_noise.tif'); hist=imhist(I); total=0; for i=0:255 total=total+hi
www.eeworm.com/read/454809/7382615

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/449477/7503892

m level.m

function level_set(image_name,N) %求一图像的水平集、线 %输入参数:image_name---图像文件名 % :N--------阀值(0~255) if nargin
www.eeworm.com/read/449477/7503927

m level.m

function level_set(image_name,N) %求一图像的水平集、线 %输入参数:image_name---图像文件名 % :N--------阀值(0~255) if nargin
www.eeworm.com/read/449458/7504843

m level.m

function level_set(image_name,N) %求一图像的水平集、线 %输入参数:image_name---图像文件名 % :N--------阀值(0~255) if nargin