二維高斯低通濾波器matlab程序設(shè)計

1、二維高斯濾波器圖像濾波MTATLAB程序設(shè)計用MATLAB設(shè)計一個3X3模板標(biāo)準(zhǔn)差為0.5,1.5,2.5的二維高斯低通濾波器（Gaussionlowpassfilter分別對灰度圖像，真彩色圖像，偽彩色圖像進彳丁濾波處理%二維高斯低通濾波器%文件為glpf.mfunctionglpf(J)%處理索引圖像ifisind(J)I,map=imread(J);I=imnoise(I,gaussian,0.005);subplot(2,2,1)imshow(I,map);title(a.原始圖像);K1=filter2(fspecial(gaussian,3*3,0.5),I);K2=filter2

2、(fspecial(gaussian,3*3,1.5),I);K3=filter2(fspecial(gaussian,3*3,2.5),I);subplot(2,2,2)imshow(K1,map);title(b.濾波器3*3,sigma=0.5)subplot(2,2,3)imshow(K2,map);title(c.濾波器3*3,sigma=1.5)subplot(2,2,4)imshow(K3,map);title(d.濾波器3*3,sigma=2.5)end%處理灰度,真彩色圖像ifisind(J)J=imread(J);%讀入圖像I=imnoise(J,gaussian);%加入

3、高斯噪聲%輸出原始圖像subplot(2,2,1)imshow(I);title(a.原始圖像)hl=fspecial(gaussian,3,3,0.5);%用預(yù)定義的gaussian函數(shù)mnp=size(I);%mnpm,n代表像素點的位置,p代表空間分量%p=1,代表亮度分量，即灰度圖像%p=3，代表亮度分量(Y),色差分量(Cr,Cb)ifp=1%處理灰度圖像I=double(I);I=conv2(I,h1,same);%I與h的二維離散卷積endifp=3%處理真彩色I=double(I);I(:,:,1)=conv2(I(:,:,1),h1,same);I(:,:,2)=conv2(

4、I(:,:,2),h1,same);I(:,:,3)=conv2(I(:,:,3),h1,same);endI=uint8(I);%8位無符號整型%經(jīng)過3*3,sigma=0.5二維高斯低通濾波器濾波后的圖像subplot(2,2,2)imshow(I);title(b.濾波器3*3,sigma=0.5)h2=fspecial(gaussian,3,3,1.5);mnp=size(I);ifp=1I=double(I);I二conv2(I,h2,same);%二維離散卷積endifp=3I=double(I);I(:,:,1)=conv2(I(:,:,1),h2,same);I(:,:,2)=

5、conv2(I(:,:,2),h2,same);I(:,:,3)=conv2(I(:,:,3),h2,same);endI=uint8(I);%經(jīng)過3*3，sigma=1.5二維高斯低通濾波器濾波后的圖像subplot(2,2,3)imshow(I);title(c.濾波器3*3,sigma=1.5)h3=fspecial(gaussian,3,3,2.5);mnp=size(I);ifp=1I=double(I);I=conv2(I,h3,same);endifp=3I=double(I);I(:,:,1)=conv2(I(:,:,1),h3,same);I(:,:,2)=conv2(I(:,:,2),h3,same);I(:,:,3)=conv2(I(:,:,3),h3,same);endI=uint8(I);%經(jīng)過3*3，sigma=2.5二維高斯低通濾波器濾波后的圖像subplot(2,2,4)imshow(I);title（d.濾波器3*3,sigma=2.5）end程序調(diào)用%glpfUse.m%調(diào)用functionglpf（）處理灰度，真彩色，索引（偽彩色）圖像并繪圖gl