matlab經(jīng)典代碼大全參考模板

1、哈哈哈MATLAB顯示正炫余炫圖：plot(x,y1,'* r',x,y2,'o b')定義【0,2】；t=0:pi/10:2*pi;定義函數(shù)文件：function 返回變量列表=函數(shù)名（輸入變量列表）順序結(jié)構(gòu)：選擇結(jié)構(gòu)1）if-else-end語句其格式為：if 邏輯表達式程序模塊1；else程序模塊2；End圖片讀取：%選擇圖片路徑filename, pathname = . uigetfile('*.jpg''*.bmp''*.gif','選擇圖片'); %合成路徑+文件名 str=pathn

2、ame,filename;%為什么pathname和filename要前面出現(xiàn)的位置相反才能運行呢？%讀取圖片 im=imread(str); %使用圖片 axes(handles.axes1); %顯示圖片 imshow(im);邊緣檢測：global im str=get(hObject,'string');axes (handles.axes1);switch str case ' 原圖 ' imshow(im); case 'sobel' BW = edge(rgb2gray(im),'sobel'); imshow(BW

3、); case 'prewitt' BW = edge(rgb2gray(im),'prewitt');1 / 4 imshow(BW); case 'canny' BW = edge(rgb2gray(im),'canny'); imshow(BW); Canny算子邊緣定位精確性和抗噪聲能力效果較好，是一個折中方案end; 開閉運算：se=1,1,1;1,1,1;1,1,1;1,1,1; %Structuring ElementI=rgb2gray(im);imshow(I,);title('Original Imag

4、e');I=double(I);im_height,im_width=size(I);se_height,se_width=size(se);halfheight=floor(se_height/2);halfwidth=floor(se_width/2);se_origin=floor(size(se)+1)/2);image_dilation=padarray(I,se_origin,0,'both'); %Image to be used for dilationimage_erosion=padarray(I,se_origin,256,'both

5、9;); %Image to be used for erosion% Dilation %for k=se_origin(1)+1:im_height+se_origin(1) for kk=se_origin(2)+1:im_width+se_origin(2) dilated_image(k-se_origin(1),kk-se_origin(2)=max(max(se+image_dilation(k-se_origin(1):k+halfheight-1,kk-se_origin(2):kk+halfwidth-1); endendfigure;imshow(dilated_imag

6、e,);title('Image after Dilation');% Erosion %se=se'for k=se_origin(2)+1:im_height+se_origin(2) for kk=se_origin(1)+1:im_width+se_origin(1) eroded_image(k-se_origin(2),kk-se_origin(1)=min(min(image_erosion(k-se_origin(2):k+halfwidth-1,kk-se_origin(1):kk+halfheight-1)-se); endendfigure;ims

7、how(eroded_image,);title('Image after Erosion');% Opening(Erosion first, then Dilation) %se=se'image_dilation2=eroded_image; %Image to be used for dilationfor k=se_origin(1)+1:im_height-se_origin(1) for kk=se_origin(2)+1:im_width-se_origin(2) opening_image(k-se_origin(1),kk-se_origin(2)=

8、max(max(se+image_dilation2(k-se_origin(1):k+halfheight-1,kk-se_origin(2):kk+halfwidth-1); endendfigure;imshow(opening_image,);title('Opening Image');% Closing(Dilation first, then Erosion) %se=se'image_erosion2=dilated_image; %Image to be used for erosionfor k=se_origin(2)+1:im_height-se

9、_origin(2) for kk=se_origin(1)+1:im_width-se_origin(1) closing_image(k-se_origin(2),kk-se_origin(1)=min(min(image_erosion2(k-se_origin(2):k+halfwidth-1,kk-se_origin(1):kk+halfheight-1)-se); endendfigure;imshow(closing_image,);title('Closing Image');Warning: Image is too big to fit on screen;

10、 displaying at 31% scale.> In truesize>Resize1 at 308 In truesize at 44 In imshow at 161圖像的直方圖歸一化：I=imread(red.bmp);%讀入圖像figure;%打開新窗口 M,N=size(I);%計算圖像大小 counts,x=imhist(I,32);%計算有32個小區(qū)間的灰度直方圖 counts=counts/M/N;%計算歸一化灰度直方圖各區(qū)間的值 stem(x,counts);%繪制歸一化直方圖圖像平移：I=imread('shuichi.jpg');se=t

11、ranslate(strel(1),180 190);B=imdilate(I,se);figure;subplot(1,2,1),subimage(I);title('原圖像');subplot(1,2,2),subimage(B);title('平移后圖像');圖像的轉(zhuǎn)置；A=imread('nir.bmp');tform=maketform('affine',0 1 0;1 0 0;0 0 1);B=imtransform(A,tform,'nearest');figure;imshow(A);figure;

12、imshow(B);imwrite(B,'nir轉(zhuǎn)置后圖像.bmp'); 圖像濾波：B = imfilter(A,H,option1,option2,.)或?qū)懽鱣 = imfilter(f, w, filtering_mode, boundary_options, size_options)其中，f為輸入圖像，w為濾波掩模，g為濾波后圖像。filtering_mode用于指定在濾波過程中是使用“相關(guān)”還是“卷積”。boundary_options用于處理邊界充零問題，邊界的大小由濾波器的大小確定。具體參數(shù)選項見下表：選項描述filtering_modecorr通過使用相關(guān)來完成，該值為默認(rèn)。conv通過使用卷積來完成boundary_optionsX輸入圖像的邊界通過用值X（無引號）來填充擴展其默認(rèn)值為0replicate圖像