matlab代码总结模板计划模板大全

哈哈哈MATLAB显示正炫余炫图：plot(x,y1,'*r',x,y2,'ob')定义【0,2π】；t=0:pi/10:2*pi;定义函数文件：function[返回变量列表]=函数名（输入变量列表）序次结构：选择结构1）if-else-end语句其格式为：if逻辑表达式程序模块1；else程序模块2；End图片读取：%选择图片路径[filename,pathname]=...uigetfile({'*.jpg';'*.bmp';'*.gif'},'选择图片');%合成路径+文件名str=[pathname,filename];%为何pathname和filename要前面出现的地址相反才能运转呢%读取图片im=imread(str);%使用图片axes;%显示图片imshow(im);边沿检测：globalimstr=get(hObject,'string');axes;switchstrcase'原图'imshow(im);case'sobel'BW=edge(rgb2gray(im),'sobel');imshow(BW);case'prewitt'BW=edge(rgb2gray(im),'prewitt');imshow(BW);case'canny'BW=edge(rgb2gray(im),'canny');imshow(BW);Canny算子边沿定位精确性和抗噪声能力成效较好，是一个折中 方案 气瓶 现场处置方案 .pdf气瓶 现场处置方案 .doc见习基地管理方案.doc关于群访事件的化解方案建筑工地扬尘治理专项方案下载 end;开闭运算：se=[1,1,1;1,1,1;1,1,1;1,1,1];%StructuringElementI=rgb2gray(im);imshow(I,[]);title('OriginalImage');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');%Imagetobeusedfordilationimage_erosion=padarray(I,se_origin,256,'both');%Imagetobeusedforerosion%%%%%%%%%%%%%%%%%%%%%Dilation%%%%%%%%%%%%%%%%%%%%%fork=se_origin(1)+1:im_height+se_origin(1)forkk=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_image,[]);title('ImageafterDilation');%%%%%%%%%%%%%%%%%%%%Erosion%%%%%%%%%%%%%%%%%%%%se=se';fork=se_origin(2)+1:im_height+se_origin(2)forkk=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;imshow(eroded_image,[]);title('ImageafterErosion');%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%Opening(Erosionfirst,thenDilation)%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%se=se';image_dilation2=eroded_image;%Imagetobeusedfordilationfork=se_origin(1)+1:im_height-se_origin(1)forkk=se_origin(2)+1:im_width-se_origin(2)opening_image(k-se_origin(1),kk-se_origin(2))=max(max(se+image_dilation2(k-se_origin(1):k+halfheight-1,kk-se_origin(2):kk+halfwidth-1)));endendfigure;imshow(opening_image,[]);title('OpeningImage');%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%Closing(Dilationfirst,thenErosion)%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%se=se';image_erosion2=dilated_image;%Imagetobeusedforerosionfork=se_origin(2)+1:im_height-se_origin(2)forkk=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('ClosingImage');Warning:Imageistoobigtofitonscreen;displayingat31%scale.Intruesize>Resize1at308Intruesizeat44Inimshowat161图像的直方图归一化：I=imread(‘’读入);%图像figure;%打开新窗口[M,N]=size(I);%计算图像大小[counts,x]=imhist(I,32);%计算有32个小区间的灰度直方图counts=counts/M/N;%计算归一化灰度直方图各区间的值stem(x,counts);%绘制归一化直方图图像平移：I=imread('');se=translate(strel(1),[180190]);B=imdilate(I,se);figure;subplot(1,2,1),subimage(I);title('原图像');subplot(1,2,2),subimage(B);title('平移后图像');图像的转置；A=imread('');tform=maketform('affine',[010;100;001]);B=imtransform(A,tform,'nearest');figure;imshow(A);figure;imshow(B);imwrite(B,'nir转置后图像.bmp');图像滤波：B=imfilter(A,H,option1,option2,...)或写作g=imfilter(f,w,filtering_mode,boundary_options,size_options)此中，f为输入图像，w为滤波掩模，g为滤波后图像。filtering_mode用于指定在滤波过程中是使用“相关”还是“卷积”。boundary_options用于办理界限充零问 题 快递公司问题件快递公司问题件货款处理关于圆的周长面积重点题型关于解方程组的题及答案关于南海问题 ，界限的大小由滤波器的大小确立。详尽参数选项见下表：选项描述filtering_mode‘corr’经过使用相关来完成，该值为默认。‘conv’经过使用卷积来完成boundary_options‘X’输入图像的界限经过用值X（无引号）来填补扩展其默认值为0‘replicate’图像大小经过复制外界限的值来扩展‘symmetric’图像大小经过镜像反射其界限来扩展‘circular’图像大小经过将图像看作是一个二维周期函数的一个周期来扩展size_options‘full’输出图像的大小与被扩展图像的大小同样‘same’输出图像的大小与输入图像的大小同样。这可经过将滤波掩模的中心点的偏移限制到原图像中包括的点来实现，该值为默认值。中直滤波：h=medfilt2(I1,[m,n]);