實驗四-彩色圖像處理

實驗四彩色圖像處理實驗?zāi)康恼莆粘Ｒ姷膸追N顏色模型及各種顏色空間之間的相互轉(zhuǎn)換。掌握彩色圖像處理的方法，如彩色圖像增強、彩色圖像復(fù)原、彩色圖像檢測與分割等。了解偽彩色處理方法的原理及應(yīng)用。實驗內(nèi)容讀入一幅RGB圖像，將其分別轉(zhuǎn)換到CMY空間、HSI空間并顯示。利用全彩色圖像處理的方法，對彩色圖像進行平滑濾涉及銳化處理。載入一幅清晰彩色圖像，產(chǎn)生運動模糊并添加一定的高斯噪聲，采用維納濾波復(fù)原該圖像。嘗試將一幅單色圖像采用密度分層法和灰度級-彩色變換法轉(zhuǎn)化成偽彩色圖像。實驗步驟1轉(zhuǎn)換到CMY空間rgb_I=imread('peppers.png');cmy_I=imcomplement(rgb_I);imshow(rgb_I);figure;imshow(cmy_I);HSI空間rgb=imread('peppers.png');imshow(rgb);rgb=im2double(rgb);r=rgb(:,:,1);g=rgb(:,:,2);b=rgb(:,:,3);I=(r+g+b)/3;tmp1=min(min(r,g),b);tmp2=r+g+b;tmp2(tmp2==0)=eps;s=1-3.*tmp1./tmp2;tmp1=0.5*((r-g)+(r-b));tmp1=sqrt((r-g).^2+(r-b).*(g-b));theta=acos(tmp1./(tmp2+eps));h=theta;h(b>g)=2*pi-h(b>g);h=h/(2*pi);h(s==0)=0;hsi=cat(3,h,s,I);figure;imshow(h);figure;imshow(s);figure;imshow(I);2、rgb=imread('peppers.png');figure;imshow(rgb);r=rgb(:,:,1);%平滑濾波g=rgb(:,:,2);b=rgb(:,:,3);figure;imshow(r);figure;imshow(g);figure;imshow(b);m=fspecial('average');r_filtered=imfilter(r,m);g_filtered=imfilter(g,m);b_filtered=imfilter(b,m);rgb_filtered=cat(3,r_filtered,g_filtered,b_filtered);figure;imshow(rgb_filtered);lapMatrix=[111;1-81;111];%銳化i_tmp=imfilter(rgb,lapMatrix,'replicate');i_sharped=imsubtract(rgb,i_tmp);figure;imshow(i_sharped);3、i=imread('peppers.png');figure;imshow(i);m=fspecial('motion',20,45);i2=imfilter(i,m,'circular');noise=imnoise(zeros(size(i)),'gaussian',0,0.05);figure;imshow(noise);i3=double(i2)+noise;i3=uint8(i3);figure;imshow(i3);i4=deconvwnr(i3,m);figure;imshow(i4);4、a=imread('liftingbody.png');figure;imshow(a);a=double(a);[m,n]=size(a);l=256;fori=1:mforj=1:nifa(i,j)<l/4r(i,j)=0;g(i,j)=4*a(i,j);b(i,j)=l;elseifa(i,j)<=l/2r(i,j)=0;g(i,j)=l;b(i,j)=-4*a(i,j)+2*l;elseifa(i,j)<=3*l/4r(i,j)=4*a(i,j)-2*l;g(i,j)=l;b(i,j)=0;elser(i,j)=l;g(i,j)=-4*a(i,j)+4*l;b(i,j)=0;endendendendendfori=1:mforj=1:ng2c(i,