Matlab 图像处理实验
来源:互联网 发布:淘宝交纳保证金 编辑:程序博客网 时间:2024/04/30 23:35
Project0501
Noise Generators
This is a generic project, in the sense that the programs developed here are used in
several of the projects that follow. See Fig. 5.2 for the shapes and parameters of the
following noise probability density functions.
(a) Find (or develop) a program to add Gaussian noise to an image. You must be
able to specify the noise mean and variance.
(b) Find (or develop) a program to add salt-and-pepper (impulse) noise to an
image. You must be able to specify the probabilities of each of the two noise
components.
程序:
I=imread('F:\images05\Fig5.03.jpg');
subplot(2,2,1),imshow(I);
gtext('原始图像');
J1=imnoise(I,'gaussian',0.2);
subplot(2,2,2),imshow(J1);
gtext('加高斯噪声');
J2=imnoise(I,'poisson');
subplot(2,2,3),imshow(J2);
gtext('加泊松噪声');
J3=imnoise(I,'salt & pepper',0.2);
subplot(2,2,4),imshow(J3);
gtext('加脉冲噪声');
I=double(I);
J1=double(J1);
J2=double(J2);
J3=double(J3);
[m,n]=size(I);
s=0;
s1=0;
s2=0;
s3=0;
for i=1:m
for j=1:n
s=I(i,j)+s;
s1=J1(i,j)+s1;
s2=J2(i,j)+s2;
s3=J3(i,j)+s3;
end
end
mean=s/(m*n);
mean1=s1/(m*n);
mean2=s2/(m*n);
mean3=s3/(m*n);
加噪结果:
平均值:
原始图像:mean =87.0864
加高斯噪声图像:mean1 =132.3158
加泊松噪声图像:mean2 =87.0719
加脉冲噪声图像:mean3 =95.0095
Project0502
Noise Reduction Using a Median Filter
(a) Modify the program that you developed in Project 03一04 to perform 3 x 3 median filtering.
(b) Download Fig. 5.7(a) and add salt-and-pepper noise to it, with Pa=Pb=0.2
(c) Apply medianfiltering to the image in (b). Explain the major differences
between your result and Fig.5.10(b).
程序:
I=imread('F:\images05\Fig5.03.jpg');
J=imnoise(I,'salt & pepper',0.2);
h=1/9*ones(3,3);
K=conv2(J,h,'same');
H=medfilt2(J);
subplot(2,2,1),imshow(I);
gtext('原始图像');
subplot(2,2,2),imshow(J);
gtext('加噪图像');
subplot(2,2,3),imshow(K,[]);
gtext('算术均值滤波后的图像');
subplot(2,2,4),imshow(H);
gtext('中值滤波后的图像');
结果:
Project0503
Periodic Noise Reduction Using a Notch Filter
(a) Write a program that implements sinusoidal noise of the form given in Problem
5.14. The inputs to the program must be the amplitude, A, and the two frequency
components u0 and v0 shown in the problem equation.
(b) Download image 5.26(a) and add sinusoidal noise to it, with u0=M/2 (the
image is square) and v0=0. The value of A must be high enough for the noise to
be quite visible in the image.
(c) Compute and display the spectrum of the image. If the FFT program you
developed in Project 4.01 can only handle images of size equal to an integer power
of 2, reduce the size of the image to 512 x 512 or 256 x 256 using the program
from Project 02-04. Resize the image before adding noise to it.
(d) Notch-filter the image using a notch filter of the form shown in Fig. 5.19(c).
程序:
I=imread('F:\images05\Fig5.03.jpg');
subplot(2,2,1),imshow(I);
gtext('原始图像');
J=imnoise(I,'salt & pepper',0.2);
subplot(2,2,2),imshow(J);
gtext('加噪图像');
J=double(J);
K=fft2(J);
[M,N]=size(J);
[H,D]=dpfilter('gaussian',M,N,1000,1,0,0);
A=H.*K;
B=ifft2(A);
B=real(B);
[H,D]=dpfilter('gaussian',M,N,5000,1,0,0);
C=H.*K;
P=real(ifft2(C));
subplot(2,2,3),imshow(B,[]);
gtext('陷波滤波后图像');
subplot(2,2,4),imshow(P,[]);
gtext('陷波滤波后图像');
结果:
- Matlab 图像处理实验
- matlab图像处理实验
- Matlab 图像处理实验报告
- 【图像处理】MATLAB:图像噪声
- 【图像处理】MATLAB:图像压缩
- 【图像处理】MATLAB:图像分割
- 图像处理实验
- 图像处理实验
- [图像处理] 实验笔记
- MATLAB图像处理命令
- MATLAB 图像处理命令
- MATLAB图像处理基本知识
- Matlab 图像处理
- 关于matlab图像处理
- MATLAB图像处理基础
- Matlab处理图像二三例
- Matlab图像处理
- Matlab图像处理工具箱
- JPEG2000介绍
- Path绘制不规则图形和判断坐标的位置
- zoj1915
- 写程序就是我的图腾,如果发现直接无错误运行,说明我在梦里。
- C++经典
- Matlab 图像处理实验
- mssql日志清理方法
- ASCII码表
- JOJ 1329: Tree(重建二叉树)
- JS冒泡事件解决方案
- 随想:增强类的重用性
- gauce学习笔记:grid
- Rockie's Android Porting Guide(4)——Add SD card to your system
- webtrends 分析报告