基于MATLAB实现的V两幅图像中有重叠部分，通过数字图像相关算法可以找到两幅图像相同的点+使用说明文档.rar

clear,clc; I0=imread('xiang.bmp'); %I0=rgb2gray(I00); %imshow(I0); I1=I0(1:450,1:650,:); I2=I0(100:500,100:700,:); %figure,imshow(I1); %figure,imshow(I2) %S1=imread('tu2.bmp'); %T1=imread('tu3.bmp'); figure imshow(I1); [T0,rect]=imcrop(I1); T=rgb2gray(T0); hold on; rectangle('Position',[rect(1),rect(2),size(T,2),size(T,1)],... 'EdgeColor','r'); X0=rect(1);Y0=rect(2); %X0=uint(X0);Y0=uint(Y0); im_template=T; im_matched=rgb2gray(I2); dim_matched =double(im_matched); dim_template = double(im_template); %方差 sigmaST = 0.0; sigmaS = 0.0; sigmaT = 0.0; %相似性测度 %double R %最大相似性测度 MaxR = 0.0; %最大相似性出现位置 maxWidth=0; maxHeight=0; %计算sigmaT [tempheight,tempwidth] = size(im_template); for n =1:tempheight for m =1:tempwidth sigmaT = sigmaT + dim_template(n,m)^2; end end sigmaT = sqrt(sigmaT); %找到图像中最大相似性的出现位置 [height,width] = size(im_matched); % width = size(im_matched,2); for j =1:height-tempheight for i =1:width-tempwidth sigmaST = 0; sigmaS = 0; for n = 1:tempheight for m = 1:tempwidth sigmaS = sigmaS + dim_matched(j+n,i+m)^2; sigmaST = sigmaST + dim_template(n,m)*dim_matched(j+n,i+m); end end %计算相似性 sigmaS = sqrt(sigmaS); R = sigmaST /(sigmaS*sigmaT); %与最大相似性比较 if(R >MaxR) MaxR = R; maxWidth = i+1; maxHeight =j+1; end end end %recWidth = [maxWidth maxWidth+tempwidth-1 maxWidth+tempwidth-1 maxWidth maxWidth]; %recHeight = [maxHeight maxHeight maxHeight+tempheight-1 maxHeight+tempheight-1 maxHeight]; figure,imshow(I2) hold on rectangle('Position',[maxWidth,maxHeight,size(T,2),size(T,1)],... 'EdgeColor','g'); dm=-1*(X0-maxWidth), dn=-1*(Y0-maxHeight)