digital image.zip_MATLAB实现找茬_fault _matlab 找茬_不同图片 matlab_图片找茬

close all; clear; clc; img1=imread('1.png'); img2=imread('2.png'); figure(1); imshow(img1); hold on figure(2); imshow(img2); hold on img1=rgb2gray(img1); %img=im2double(img1); left=im2double(img1); img2=rgb2gray(img2); right=im2double(img2); %[height,width]=size(img(:,:,1)); %left=imcrop(img(:,:,1),[0,0,ceil(width/2),height]); %right=imcrop(img(:,:,1),[ceil(width/2),0,ceil(width/2),height]); diff(:,:,1)=abs(left-right); %diff=im2uint8(diff); %diff(:,:,n)=right-left; diff(:,:,1) =imadjust(diff(:,:,1),[0.02,0.1],[0,0.3]); %figure(2) %imshow(diff(:,:,n)); se=strel('disk',2); diff(:,:,1)=imerode(diff(:,:,1),se); se=strel('disk',4); a=imdilate(diff(:,:,1),se); % imshow(diff(:,:,n)) diff(:,:,1) =imadjust(a,[0.02,0.1],[0,0.3]); % imshow(diff(:,:,n)) difff(:,:,1)=a>0.08; % imshow(difff(:,:,n)) se=strel('disk',3); difff(:,:,1)=imdilate(difff(:,:,1),se); % imshow(difff(:,:,n)) [Lbw4(:,:,1), numbw4] = bwlabel(difff(:,:,1));%把每个单词（此时已连通）贴上标签 %Lbw4为贴标签之后的矩阵，numbw4为标签（即单词）个数 stats = regionprops(Lbw4(:,:,1));%获取区域的某个属性(面积、最小包围矩形的坐标长宽等)的值 for j = 1 : numbw4 tempBound = stats(j).BoundingBox; rectangle('position',tempBound,'edgecolor','r'); end disp(numbw4);