SimpleImagecompare

total_images=20;
ImageMatrixes=[];


figure(1);
for i=1:total_images
    str=strcat(int2str(i),'.bmp'); %creates string of photos filename
    eval('img=imread(str);'); % searches current folder for photo based on string
    subplot(ceil(sqrt(total_images)),ceil(sqrt(total_images)),i); %puts the image on a table based on the total images and the counter varible
    imshow(img);

end

figure(2);
for i=1:total_images
    edge_det = edge(img,'canny');% apply edge detection to the image
    subplot(ceil(sqrt(total_images)),ceil(sqrt(total_images)),i);
    imshow(edge_det);
    drawnow;
    [imagerow, imagecollumn]=size(edge_det);    % gets the number or rows and
    temp=reshape(edge_det',imagerow*imagecollumn,1);     %creates a temporray matrix for the immage based on the size
    ImageMatrixes=[ImageMatrixes, temp];         %we then insert this into our image matrix
end

InputImage = input('Please enter the name of the image and its extension \n','s');
InputImage = imread(strcat('C:\Users\Adam\Desktop\',InputImage)); % asks user to enter filename, combines it with desktop path
InputImageMatrix = [];
InputImageEdge = edge(InputImage, 'canny');
[imagerowi, imagecollumni]=size(InputImage);
temp=reshape(edge_det',imagerow*imagecollumn,1);
InputImageMatrix = [InputImageMatrix, temp];
figure(3);
subplot(1,2,1);
imshow(InputImage);
subplot(1,2,2);
imshow(InputImageEdge);

distance = [];
distance2 =[];
for i =1:total_images
    [hd, D] = HausdorffDist(InputImageMatrix,ImageMatrixes(i));
    distance = [distance, hd];
    distance2 = [distance2, D];
end

Numberofhs = 1:size(distance,2);
subplot(1,1,1)
stem(Numberofhs,distance)
title('Hausdorf distance of input image','fontsize',14)