how to match two imaes

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reema 2014-7-26

1
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/143397-how-to-match-two-imaes

评论： reema 2014-8-12

sir i want to matchtwo iamgesin if statement me usee the code is given below:

   h=subImage;
   h1=imread('14.jpg');
   A=rgb2gray(h);
   A1=rgb2gray(h1);
  %   axes(handles.axes10);
  %  imshow(I);
% figure, imshow(A);
J=imhist(A);
J1=imhist(A1);
figure, imshow(J1);
   E_distance= sqrt(sum((J-J1).^2));
  if E_distance == 0
      figure, imshow('14.jpg');
  else  E_distance == 1 
          figure, imshow('dar.jpg');
  %         w=imread('6.jpg');
  %         figure;
  %         imshow(w);
  end
guidata(hObject, handles);
axis equal;
axis tight;
axis off;

the ans in cammand window is 0, but show the the pic which is in else block.. check my codee plzz

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回答（2 个）

SRI 2014-7-26

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Hi Reema Just try this Code you can Find How many times does the image will be displayed, after running the program keep the mouse cursor on Flag and Count of the program it will show the number that much times your output will be displapayed..

clc; warning off;

A = imread('cameraman.tif');

B = imread('circles.png');

c = im2bw(A);

d = im2bw(B);

E = sqrt(sum(c-d).^2);

count = 1;

flag = 1;

for i = 1:length(E)

    if E(i) > 100
        imshow(c);
        count = count+1;
    else E(i) <= 100;
        imshow(d)
        flag = flag + 1;
    end

end

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Image Analyst 2014-7-26

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链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/143397-how-to-match-two-imaes#answer_146499

在 MATLAB Online 中打开

When you say

if E_distance == 0
        figure, imshow('14.jpg');
    else  E_distance == 1 
            figure, imshow('dar.jpg');
    %         w=imread('6.jpg');
    %         figure;
    %         imshow(w);
    end

You're really doing

if E_distance == 0
  figure
  imshow('14.jpg');
else  
  E_distance == 1 
  figure
  imshow('dar.jpg');
end

And since E_distance is not 1, and there is no semicolon, it will spit out an "ans = 0" to the command window.

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Image Analyst 2014-8-9

Depends on what you mean. You can match histograms using this method or using the built-in imhistmatch(). You can find templates in a larger image using normxcorr2(). You can use SIFT or SURF (patented techniques) to do CBIR. You can use CBIR methods (Google it). Or you can just look at how everyone else does face recognition and copy their method.

reema 2014-8-12

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i got the ans of my Question that is:

i1=SelectedImage;i1=i1(:,:,1);
[c1,n]=imhist(i1);
 c1=c1/size(i1,1)/size(i1,2);
%  C1=scalar(c1);
i2=imread('C:\Users\Reema shaheen\Documents\MATLAB\PCA WALA\static\7.bmp');i2=i2(:,:,1);
[c2,n2]=imhist(i2);
c2=c2/size(i2,1)/size(i2,2);
% C2=scalar(c2);
d = pdist2(c1',c2');
if  (d == 0)
    figure, imshow('1.bmp');
else
    figure, imshow('3.jpg');
end