matlab图像增强与平滑简单程序.doc

图像增强与平滑直方图：I=imread(1.jpg);imshow(I);I=rgb2gray(I); %三维变成二维的图；figure,imhist(I); %显示灰度分布直方图均衡处理：I=imread(1.jpg);I=rgb2gray(I);J=histeq(I);Subplot(1,2,1),imshow(I);Subplot(1,2,2),imshow(J);figure,Subplot(1,2,1),imhist(I,64); Subplot(1,2,2),imhist(J,64); %这个参数是什么意思？灰度变换：imadjust(I, );I=imread(1.jpg);I=rgb2gray(I);J=imadjust(I,0.1,0.5,);Subplot(1,2,1),imshow(I);Subplot(1,2,2),imshow(J);figure,Subplot(1,2,1),imhist(I,64); Subplot(1,2,2),imhist(J,64);图像反转：I=imread(1.jpg);I=rgb2gray(I);J=imadjust(I,0.1,0.9,0.9 0.1);Subplot(1,2,1),imshow(I);Subplot(1,2,2),imshow(J);figure,Subplot(1,2,1),imhist(I,64); Subplot(1,2,2),imhist(J,64);图像平滑噪声I=imread(1.jpg);I=rgb2gray(I);J=imnoise(I,salt & pepper,0.02);H=ones(5,5)/25;I2=imfilter(J,H); %领域平均法去噪；Subplot(1,2,1),imshow(J);Subplot(1,2,2),imshow(I2);高斯噪声J=imnoise(I,gaussian,0.02); %高斯噪声I=imread(1.jpg);I=rgb2gray(I);J=imnoise(I,gaussian,0.02);H=ones(5,5)/25;I2=imfilter(J,H); %领域平均法去噪；Subplot(1,2,1),imshow(J);Subplot(1,2,2),imshow(I2);掩模大小对比I=imread(2.bmp);I=rgb2gray(I);J=imnoise(I,gaussian,0.02);H=ones(2,2)/25;H1=ones(5,5)/25;I1=imfilter(J,H1); %5*5领域平均法去噪I2=imfilter(J,H); %2*2领域平均法去噪Subplot(1,2,1),imshow(I1);Subplot(1,2,2),imshow(I2);中值滤波I=imread(2.bmp);I=rgb2gray(I);J=imnoise(I,gaussian,0.02);H=ones(5,5)/25;I2=medfilt2(J,5,5); Subplot(1,2,1),imshow(J);Subplot(1,2,2),imshow(I2);梯度法对图像锐化I=imread(2.bmp);I=rgb2gray(I);I=double(I);IX,IY=gradient(I);GM=sqrt(IX.*IX+IY.*IY);figure(1),imshow(GM,);拉普拉斯贝尔特拉米算子I=imread(2.bmp);I=rgb2gray(I);I=double(I);Subplot(1,2,1),imshow(I,);H=0 1 0,1 -4 1,0 1 0;J=conv2(I,H,same);figure(1),imshow(J,);图像色彩加强rgb=imread(3.jpg);rbgnew(:,:,1)=rgb(:,:,3);rbgnew(:,:,2)=rgb(:,:,1);rbgnew(:,:,3)=rgb(:,:,2);figure,imshow(rbgnew);图像分割边缘检测I=imread(2.bmp);I=