MATLAB CODE FOR IMAGE MATCHING

IMAGE MATCHING

ITS A TECHNIQUE TO COMPARE TO IMAGES BY COMPARING THERE WHITE PIXELS, THIS IS VERY USEFUL WHILE CALCULATING PERCENTAGE CHANGE IN SAME IMAGE CAPTURED AT DIFFERENT INTERVALS OF TIME.

These are the procedures to apply on the images captured to calculate the percentage match

Image1

Image2

CODE FOR IMAGE COMPARISON

<code>
 A=imread('Image1');
M=imread('Image2');

A=rgb2gray(A);
M=rgb2gray(M);
figure,imshow(A);
title('after gray conversion A');
figure,imshow(M);
title('after gray conversion M');


J=wiener2(A,[5 5]);
title('image after wiener filtering A');
figure,imshow(J);

J1=wiener2(M,[5 5]);
title('image after wiener filtering M');
figure,imshow(J1);

BW1=edge(J,'canny');
figure,imshow(BW1);
title('image after edge detection A');

BW2=edge(J1,'canny');
figure,imshow(BW2);
title('image after edge detection M');


OUTPUT_MESSAGE = 'almost same x-ray images ';
OUTPUT_MESSAGE2 = ' x-ray images not matching ';

matched_data = 0;
white_points1 = 0;
white_points2 = 0;
black_points = 0;
x=0;
y=0;
l=0;
m=0;
time=0;

for a = 1:1:300
    for b = 1:1:300
        if(BW1(a,b)==1)
            white_points1 = white_points1+1;
        else
            black_points = black_points+1;
        end
    end
end

for a = 1:1:300
    for b = 1:1:300
        if(BW2(a,b)==1)
            white_points2 = white_points2+1;
        else
            black_points = black_points+1;
        end
    end
end

display(white_points1);
display(white_points2);

%total_data = white_points;
total_matched_percentage = (white_points1/white_points2)*100;
 display((total_matched_percentage));

if(total_matched_percentage >= 85)

       time=20;
    display(time);
elseif(total_matched_percentage >= 50 && total_matched_percentage <= 85)

       time=40;
    display(time);
else
   
   
        time=60;
    display(time);
end



</code>