关于数字图像处理的基于matlab的关于数字图像处理的基于matlab的.doc

A=imread(abc.jpg);%图像的读取 B=imshow(A);%显示图像A [x,map]=imread(abc.jpg);%x是图像的数据矩阵，map是图像的颜色矩阵 image（x）; colormap(map); C=size(x);%显示x矩阵的行数，列数，维数 D=image(x);%显示图像A E=x(:,:,2);%显示想第二层二维矩阵（一般图像没rgb图像，第一层数据代表红的强度。第二层代表绿的强度。第三层代表蓝的强度） F=imfinio(abc.jpg);%图像文件信息的查询 Example：加噪声 I=imread(G:\a.tif) ; p=rgb2gray(I);%显示灰度图 J1=imnoise(p,salt pepper,0.04); subplot(121),subimage(J1);title(加入盐椒噪声后的图像，密度D=0.04); J2=imnoise(p,gaussian,0,0.04); subplot(122),subimage(J2);title(加入高斯噪声后的图像，M=0,V=0.04); 注：gaussian 高斯噪声 saltpetter 盐椒噪声 speckle 乘法噪声 Example：滤波 1.Mean filter I = imread(coins.png); h = ones(5,5) / 25;%产生五行五列的1/25 I2 = imfilter(I,h); imshow(I), title(Original Image); figure, imshow(I2); title(Filtered Image)； 2.Median filter I=imread(G:\a.tif) ;p=rgb2gray(I); J1=imnoise(p,salt pepper,0.04); subplot(221),subimage(J1);title(加入盐椒噪声后的图像，密度D=0.04); J2=imnoise(p,gaussian,0,0.04); subplot(222),subimage(J2);title(加入高斯噪声后的图像，M=0,V=0.04); J3=medfilt2(J1); subplot(223),subimage(J3);title(加入盐椒噪声中值滤波后的图像); J4=medfilt2(J2); subplot(224),subimage(J4);title(加入高斯噪声中值滤波后的图像); Spatial Sharpening filtering 空间锐化滤波 Example： 第一个 I=imread(Water lilies.jpg); BW=rgb2gray(I); BW2=edge(BW,sobel,0.02,both); figure,imshow(BW2)； 第二个 I = imread(bacteria.BMP); BW1 = edge(I,prewitt,0.04)% 0.04为梯度阈值 figure(1); imshow(I); figure(2); imshow(BW1); Basic operations of Digital Image processing ex: J = imcomplement(g); imshow(J), ex: I = imread(circuit.tif); J = imresize(I,1.25);%图像放大 imshow(I) figure, imshow(J) ex: J = imresize(I,[100 150], bilinear); imshow(I) figure, imshow(J) ex: I = imread(pout.tif); J = imrotate(I,35);%35代表35度 imshow(J) ex： I=imread(cameraman.tif); T = maketform(affine,[cosd(45) -sind(45) 0; sind(45) cosd(45) 0; 0 0 1]); tformfwd([10 20],T); I2 = imtransform(I,T); imshow(I2) Ex： I = imread(cameraman.tif); se