matlab-图像的几何变换与彩色处理

1、精选优质文档-倾情为你奉上精选优质文档-倾情为你奉上专心-专注-专业专心-专注-专业精选优质文档-倾情为你奉上专心-专注-专业实验四、图像的几何变换与彩色处理实验目的1理解和掌握图像的平移、垂直镜像变换、水平镜像变换、缩放和旋转的原理和应用； 2熟悉图像几何变换的MATLAB操作和基本功能3 掌握彩色图像处理的基本技术实验步骤1 启动MATLAB程序，读入图像并对图像文件分别进行平移、垂直镜像变换、水平镜像变换、缩放和旋转操作%平移 flowerImg=imread(flower.jpg); se=translate(strel(1),100 100); img2=imdilate(flowe

2、rImg,se); subplot(1,2,1); imshow(flowerImg); subplot(1,2,2); imshow(img2);I1=imread(flower.jpg);I1=double(I1);H=size(I1);I2(1:H(1),1:H(2),1:H(3)=I1(H(1):-1:1,1:H(2),1:H(3);I3(1:H(1),1:H(2),1:H(3)=I1(1:H(1),H(2):-1:1,1:H(3);Subplot(2,2,1);Imshow(uint8(I1);Title(原图);Subplot(2,2,2);Imshow(uint8(I3);Tit

3、le(水平镜像);Subplot(2,2,3);Imshow(uint8(I2);Title(垂直镜像);img1=imread(flower.jpg);figure,imshow(img1);%缩放img2=imresize(img1,0.25);figure,imshow(img2);imwrite(img2,a2.jpg);%旋转img3=imrotate(img1,90);figure,imshow(img3);imwrite(img3,a3.jpg);2 实验如下操作： 改变图像缩放比例f= imread(flower.jpg);T= 0.5 0 0; 0 0.5 0; 0 0 1;

4、tform=maketform(affine,T);g1,xdata1,ydata1=imtransform(f,tform,FillValue,255);T= 1 0 0; 0 1 0; 0 0 1;tform=maketform(affine,T);g2,xdata2,ydata2=imtransform(f,tform,FillValue,255);T= 1.5 0 0; 0 1.5 0; 0 0 1;tform=maketform(affine,T);g3,xdata3,ydata3=imtransform(f,tform,FillValue,255);hold onimshow(g3

5、,XData, xdata3, YData, ydata3)hold onimshow(g2,XData, xdata2, YData, ydata2)hold onimshow(g1,XData, xdata1, YData, ydata1)axis autoaxis on改变图像的旋转角度，f= imread(flower.jpg);theta=3*pi/4;T=cos(theta) sin(theta) 0; -sin(theta) cos(theta) 0; 0 0 1;tform=maketform(affine,T);g3,xdata3,ydata3=imtransform(f,t

6、form,FillValue,255);theta=pi;T=cos(theta) sin(theta) 0; -sin(theta) cos(theta) 0; 0 0 1;tform=maketform(affine,T);g4,xdata4,ydata4=imtransform(f,tform,FillValue,255);imshow(f);hold onimshow(g3,XData, xdata3, YData, ydata3)hold onimshow(g4,XData, xdata4, YData, ydata4)axis autoaxis on观察变换结果，要求把经过不同类型

7、几何变换的图像和原图像在同一坐标系内显示输出 (请参考课件或教材上的代码)3 读入一幅彩色图像，进行如下图像处理：在RGB彩色空间中对图像进行模糊和锐化处理rgb= imread(flower.jpg);figure;imshow(rgb);title(原图);%平滑滤波r=rgb(:,:,1);g=rgb(:,:,2);b=rgb(:,:,3);m=fspecial(average,8,8);r_filtered=imfilter(r,m);g_filtered=imfilter(g,m);b_filtered=imfilter(b,m);rgb_filtered=cat(3,r_filte

8、red,g_filtered,b_filtered);figure;imshow(rgb_filtered);title(模糊后);imwrite(rgb_filtered, RGB彩色空间模糊后.jpg);%拉普拉斯lapMatrix=111;1-81;111;i_tmp=imfilter(rgb,lapMatrix,replicate);i_sharped=imsubtract(rgb,i_tmp);figure;imshow(i_sharped);title(锐化后);imwrite(i_sharped, RGB彩色空间锐化后.jpg);在HSI彩色空间中，对H分量图像进行模糊和锐化处理

9、，转换回RGB格式并观察效果在HSI彩色空间中，对S分量图像进行模糊和锐化处理，转换回RGB格式并观察效果在HSI彩色空间中，对I分量图像进行模糊和锐化处理，转换回RGB格式并观察效果fc = imread(flower.jpg);h = rgb2hsi(fc);H = h (:,:,1);S = h (:,:,2);I = h (:,:,3);subplot(3,3,1);imshow(fc); title(原图);%平滑滤波 m=fspecial(average,8,8); h_filtered=imfilter(H,m);img_h_filtered = cat(3,h_filtered

10、,S,I); rgb_h_filtered = hsi2rgb(img_h_filtered);subplot(3,3,2);imshow(rgb_h_filtered); title(H分量模糊后);imwrite(rgb_h_filtered, H分量模糊后.jpg);%拉普拉斯lapMatrix=1 1 1;1 -8 1;1 1 1; i_tmp=imfilter(H,lapMatrix,replicate); H_sharped=imsubtract(H,i_tmp); img_h_sharped = cat(3,H_sharped,S,I); rgb_h_sharped = hsi2

11、rgb(img_h_sharped);subplot(3,3,3); imshow(rgb_h_sharped); title(H分量锐化后);imwrite(rgb_h_sharped, H分量锐化后.jpg);subplot(3,3,4);imshow(fc); title(原图);%平滑滤波 m=fspecial(average,8,8); s_filtered=imfilter(S,m);img_s_filtered = cat(3,H,s_filtered,I); rgb_s_filtered = hsi2rgb(img_s_filtered);subplot(3,3,5);imsh

12、ow(rgb_s_filtered); title(S分量模糊后);imwrite(rgb_s_filtered, S分量模糊后.jpg);%拉普拉斯lapMatrix=1 1 1;1 -8 1;1 1 1; i_tmp=imfilter(S,lapMatrix,replicate); s_sharped=imsubtract(S,i_tmp); img_s_sharped = cat(3,H,s_sharped,I); rgb_s_sharped = hsi2rgb(img_s_sharped);subplot(3,3,6); imshow(rgb_s_sharped); title(S分量

13、锐化后);imwrite(rgb_s_sharped, S分量锐化后.jpg);subplot(3,3,7);imshow(fc); title(原图);%平滑滤波 m=fspecial(average,8,8); i_filtered=imfilter(I,m);img_i_filtered = cat(3,H,S,i_filtered); rgb_i_filtered = hsi2rgb(img_i_filtered);subplot(3,3,8);imshow(rgb_i_filtered); title(I分量模糊后);imwrite(rgb_i_filtered, I分量模糊后.jpg);%拉普拉斯lapMatrix=1 1 1;1 -8 1;1 1 1; i_tmp=imfilter(I,lapMatrix,replicate); i_sharped=i