代码搜索：图像重建
找到约 10,000 项符合「图像重建」的源代码
代码结果 10,000
www.eeworm.com/read/166078/10037020
m repictured.m
clear all;
close all;
I=imread('Fig5.07(a).jpg');
figure;
imshow(I,[]);
title('原始图像');
I=imnoise(I,'salt & pepper',0.15);
figure;
imshow(I,[]);
title('加椒盐噪声');
%7×7中值滤波
Q=medfilt2(I,[
www.eeworm.com/read/166078/10037021
asv repictured.asv
clear all;
close all;
I=imread('Fig5.07(a).jpg');
figure;
imshow(I,[]);
title('原始图像');
I=imnoise(I,'salt & pepper',0.15);
figure;
imshow(I,[]);
title('加椒盐噪声');
%7×7中值滤波
Q=medfilt2(I,[
www.eeworm.com/read/165898/10047307
m sumarize11_4_1f.m
figure(1);
load imdemos saturn2;
%显示图像
imshow(saturn2);
figure(2);
%进行傅立叶变换
B = fftshift(fft2(saturn2));
%显示变换后的系数分布
imshow(log(abs(B)),[]),colormap(jet(64)),colorbar;
www.eeworm.com/read/361503/10049455
m gabpdemo.m
%图像分割示例程序
function retstr = gabpdemo()
NNTWARN OFF
retstr=-1;
%用于产生样本文件
generatesample('data\sample.mat');
%遗传神经网络训练示例
gaP = [100 0.00001];
bpP = [500 0.00001];
load('data\sample.mat');
gabptrain
www.eeworm.com/read/361503/10049842
m gabpdemo.m
%图像分割示例程序
function retstr = gabpdemo()
NNTWARN OFF
retstr=-1;
%用于产生样本文件
generatesample('data\sample.mat');
%遗传神经网络训练示例
gaP = [100 0.00001];
bpP = [500 0.00001];
load('data\sample.mat');
gabptrain
www.eeworm.com/read/164660/10098448
java ch7_e7_7.java
import java.applet.*;
import java.awt.*;
import java.awt.event.*;
public class ch7_e7_7 extends Applet implements ActionListener
{
Label promptLbl = new Label("请输入欲显示的图像文件名：");
TextFi
www.eeworm.com/read/162979/10254420
m huidulashen.m
%%处理裂纹, 选取合适阈值
clear
I=imread('E:\工件图像\裂纹\D10.4Xd5.5X1(1)\1.bmp','bmp');
%I=rgb2gray(I);
I=medfilt2(I);
height=576;
width=768;
%imshow(I);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%
www.eeworm.com/read/162979/10254426
m untitled91603djf.m
%迭代阈值选取法
clear
I=uint8(imread('E:\工件图像\麻坑\D19.1Xd4.1X1.0\17.bmp','bmp'));
%I=rgb2gray(I);
I=medfilt2(I);
figure,imshow(I);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%
www.eeworm.com/read/279708/10400667
txt 31[1].txt
图片的对齐方式
图像处于文本区域的左边 left left left left left left left left left left left left left left left left le