数字图像平滑滤波在MATLAB上的实现(共7页)

1、精选优质文档-倾情为你奉上第 5 章 图像平滑滤波在MATLAB上的实现本课程设计在MATLAB上实现的程序和结果I=imread(b.bmp);v=0.5*ones(size(I);I1=imnoise(I,localvar,v);I2=imnoise(I,salt & pepper,0.02);I3=imnoise(I,speckle,0.02);figure;subplot(221);hold on;title(原图像);imshow(I);hold off;subplot(222);hold on;title(受高斯噪声污染的图像);imshow(I1);hold off;subplo

2、t(223);hold on;title(受椒盐噪声污染的图像);imshow(I2);hold off;subplot(224);hold on;title(受乘性噪声污染的图像);imshow(I3);hold off;h=ones(3,3)/9;J1=imfilter(I1,h);J2=imfilter(I2,h);J3=imfilter(I3,h);figure;subplot(221);hold on;title(原图像);imshow(I);hold off;subplot(222);hold on;title(对有高斯噪声的3*3邻域平均后的图像);imshow(J1);hold

3、 off;subplot(223);hold on;title(对有椒盐噪声的3*3邻域平均后的图像);imshow(J2);hold off;subplot(224);hold on;title(对有乘性噪声的3*3邻域平均后的图像);imshow(J3);hold off;h1=ones(5,5)/25;K1=imfilter(I1,h1);K2=imfilter(I2,h1);K3=imfilter(I3,h1);figure;subplot(221);hold on;title(原图像);imshow(I);hold off;subplot(222);hold on;title(对有高

4、斯噪声的5*5邻域平均后的图像);imshow(K1);hold off;subplot(223);hold on;title(对有椒盐噪声的5*5邻域平均后的图像);imshow(K2);hold off;subplot(224);hold on;title(对有乘性噪声的5*5邻域平均后的图像);imshow(K3);hold off;L1=medfilt2(I1,5,5);L2=medfilt2(I2,5,5);L3=medfilt2(I3,5,5);figure;subplot(221);hold on;title(原图像);imshow(I);hold off;subplot(222

5、);hold on;title(高斯噪声5*5中值滤波后的图像);imshow(L1);hold off;subplot(223);hold on;title(椒盐噪声5*5中值滤波后的图像);imshow(L2);hold off;subplot(224);hold on;title(乘性噪声的5*5中值滤波后的图像);imshow(L3);hold off;f1,f2=freqspace(25,meshgrid);Hd=zeros(25,25);d=sqrt(f1.2+f2.2)0.5;Hd(d)=1;h=fsamp2(Hd);figure;freqz2(h,64,64);I=imread

6、(b.bmp);v=0.5*ones(size(I);I1=imnoise(I,localvar,v);I2=imnoise(I,salt & pepper,0.02);I3=imnoise(I,speckle,0.02);J1=imfilter(I1,h,replicate);J2=imfilter(I2,h,replicate);J3=imfilter(I3,h,replicate);figure;subplot(221);hold on;title(原图像);imshow(I);hold off;subplot(222);hold on;title(高斯噪声频域滤波后图像);imshow(J1);hold off;subplot(223);hold on;title(椒盐噪声