1、代碼一:% 2.灰度線性變換，利用imadjust函數對圖像局部灰度范圍進行擴展% MATLAB 程序實現如下：l=imread(e.jpg);subplot(2,2,1),imshow(l);title(原始圖像);axis(50,250,50,200);axis on;% 顯示坐標系I1=rgb2gray(I);%圖像I必須為彩色圖像subplot(2,2,2),imshow(I1);title(灰度圖像);axis(50,250,50,200);axis on;% 顯示坐標系J=imadjust(l1,0.1 0.5,); % 局部拉伸，把0.1 0.5內的灰度拉伸為0 1 subplo

2、t(2,2,3),imshow(J);title(線性變換圖像0.1 0.5);axis(50,250,50,200);grid on;%顯示網格線axis on;% 顯示坐標系K=imadjust(I1,0.3 0.7,); % 局部拉伸，把0.3 0.7內的灰度拉伸為0 1%imadjust(I1,a b,)中a和b的值越接近零，圖像越亮 subplot(2,2,4),imshow(K);title(線性變換圖像0.3 0.7);axis(50,250,50,200);grid on;%顯示網格線axis on;% 顯示坐標系%注釋：% Matlab 函數 rgb2gray 簡介%函數功能

3、：將真彩色圖像轉換為灰度圖像。% 調用格式：I = rgb2gray(RGB)%將真彩色RGB圖像轉換成灰度圖像。(RGB并不發生變化)% newmap = rgb2gray(map)返回一個灰度調色板。% 相關函數：ind2gray, mat2gray, ntsc2rgb, rgb2ind, rgb2ntsc代碼二：%利用均值濾波器對圖像進行平滑處理，噪聲得到了有效的去除%并且選擇模版的尺寸越大，噪聲的去除效果越好，同時圖像邊緣細節越模糊clear all;I=imread(e.jpg);M=rgb2gray(I);%創建均值濾波器模版H1=ones (3)/9;H2=ones(7)/49;

4、%添加高斯噪聲，均值為0，方差為0.02J=imnoise(M,gaussian,0,0.02);%轉化J為double數據類型J=double(J);%均值濾波G1= conv2(J,H1,same);G2=conv2(J,H2,same);%圖像顯示subplot(2,2,1);imshow(M);title(原始圖像);subplot(2,2,2);imshow(J,);title(添加高斯噪聲圖像);subplot(2,2,3);imshow(G1,);title(3*3均值濾波圖像);subplot(2,2,4);imshow(G2,);title(7*7均值濾波圖像);代碼三：%利

5、用閾值對圖像進行平滑處理，噪聲得到了有效的去除%并且和3*3濾波器相比，閾值法去噪效果更明顯clear all;l=imread(e.jpg);M=rgb2gray(l);m n=size(M);T=50;%設定閾值G=;%創建數組用來存儲新得到的圖像像素值%創建均值濾波器模版H1=ones (3)/9;%添加椒鹽噪聲J=imnoise(M,salt & pepper,0.05);%轉化J為double數據類型J=double(J);%用于卷積公式時要轉化為雙精度%均值濾波G1= conv2(J,H1,same);%G2=conv2(J,H2,same);%圖像顯示 for i=1:mfor

6、j=1:nif abs(J(i,j)-G1(i,j)TG(i,j)=G1(i,j);elseG(i,j)=J(i,j)；endendendsubplot(2,2,1);imshow(M);title(原始圖像);subplot(2,2,2);imshow(J,);title(添加椒鹽噪聲圖像);subplot(2,2,3);imshow(G1,);title(3*3均值濾波圖像);subplot(2,2,4);imshow(G,);title(超限像素平滑圖像);代碼四：%利用中值濾波去噪clear all;l=imread(e.jpg);M=rgb2gray(l);N1=imnoise(M,salt & pepper,0.04);N2=imnoise(M,gaussian,0,0.02);N3=imnoise(M,speckle,0.02);% 添加乘性噪聲G仁medfilt2(N1);%中值濾波去噪G2=medfilt2(N2);G3=medfilt2(N3);subplot(2,3,1);imshow(N1);title(添加椒鹽噪聲圖像);subplot(2,3,2);imshow(N2);title(添加高斯噪聲);subplot(2,3,3);imshow(N3);title(添加乘性噪聲);subplot(2,3,4);imshow(G1);ti