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matlab/main.asv 5.14 KB
76a0f6f9   Laila Saadatifard   first commit to i...
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  tic;
  clc;
  clear;
  disp('***************** NEW RUN *********************');
  total = tic;
  
  
  % ******* Initialize voting parameters **************************************
  rmax = 9;		%maximum radius of the cell
  phi_deg = 25.1;		%half the angular range of the voting area
  phi = phi_deg * pi / 180;
  iter = 5;	%number of voting iterations
  t0 = 1.2; %threshold color
  sigma = [4, 4, 2];
  final_t = 75;
  
  
  % ******** Testing parameters ******************************************
  p = [50, 20, 50] ;
  ps = [100, 100, 50] - 1;
      
  volfile = 'img\nissl-rat.vol';
  fid = fopen(volfile); % open the file that include the image
  S = fread(fid, 3, 'int32');
  X = S(1);
  Y = S(2);
  Z = S(3);
  
  % load the VOL data into a 2D matrix
  I = fread(fid,[X Y*Z], 'uint8');
  fclose(fid);
  
  %change this to a 3D matrix
  I = reshape(I, [X, Y, Z]);
  
  %invert the intensity
  I = 255 - I;
  
  %perform a gaussian blur
  I_blur = gauss_blur3d(I, sigma);
  
  % compute the gradient
  [Igrad_x, Igrad_y, Igrad_z] = gradient(I_blur);
  
  %%crop out a small subregion of I
  Isub_x = Igrad_x(p(1):p(1)+ps(1), p(2):p(2)+ps(2), p(3):p(3)+ps(3));
  Isub_y = Igrad_y(p(1):p(1)+ps(1), p(2):p(2)+ps(2), p(3):p(3)+ps(3));
  Isub_z = Igrad_z(p(1):p(1)+ps(1), p(2):p(2)+ps(2), p(3):p(3)+ps(3));
  
  %calculate the gradient magnitude
  Imag = sqrt(Isub_x .^ 2 + Isub_y .^ 2 + Isub_z .^2);
  
  %set a threshold for the gradient magnitude
  It = Imag > t0;
  
  
  subplot(3, 3, 1),
  imshow( squeeze( I(:, :, ceil(size(I, 3)/2)) ) ./ 255 );
  %colormap(gray);
  
  subplot(3, 3, 2),
  imshow( squeeze( I(:, ceil(size(I, 2)/2), :) ) ./ 255 );
  
  subplot(3, 3, 3),
  imshow( squeeze( I(ceil(size(I, 1)/2), :, :) ) ./ 255 );
  
  subplot(3, 3, 4),
  imagesc( squeeze( Imag(:, :, ceil(size(Imag, 3)/2)) ) );
  
  subplot(3, 3, 5),
  imagesc( squeeze( Imag(:, ceil(size(Imag, 2)/2), :) ) );
  
  subplot(3, 3, 6),
  imagesc( squeeze( Imag(ceil(size(Imag, 1)/2), :, :) ) );
  
  subplot(3, 3, 7),
  imagesc( squeeze( It(:, :, ceil(size(It, 3)/2)) ) );
  
  subplot(3, 3, 8),
  imagesc( squeeze( It(:, ceil(size(It, 2)/2), :) ) );
  
  subplot(3, 3, 9),
  imagesc( squeeze( It(ceil(size(It, 1)/2), :, :) ) );
  
  %
  % thresholding
  It_x = size(It,1);
  It_y = size(It,2);
  It_z = size(It,3);
  %
  It(1:rmax, :, :) = 0;
  It(It_x - rmax:It_x, :,:) = 0;
  S(:, 1:rmax, :) = 0;
  S(:, It_y - rmax:It_y,:) = 0;
  S(:, :, 1:rmax) = 0;
  S(:,:, It_z - rmax:It_z) = 0;
  
  %
  [Itx,Ity,Itz] = ind2sub(size(It),find(It));
  
  nV = nnz(It);
  
  
  % create a meshgrid describing coordinates relative to the voter position
  range = -rmax:rmax;
  [mx, my, mz] = meshgrid(range, range, range);
  m_mag = sqrt(mx.^2 + my.^2 + mz.^2);
  %create a mask for the voting area
  M_dist =  mx.^2 + my.^2 + mz.^2 < rmax^2;
  
  pxPerRow = size(I_blur,1);
  pxPerCol = size(I_blur,2);
  validPoints = zeros(nV,1); 
  
  g_v_prime = zeros(nV, ceil(rmax^2*phi/3)); 
  
  %%
  
  disp('done.');
  %% vote
  for itr = 1 : iter
      Ivote = zeros(size(Iblur));
      for v = 1: nV
         % coordinates of the current voter
         vx = Itx(v);
         vy = Ity(v);
         vz = Itz(v);
  
         vgrad = [Isub_x(vx,vy,vz), Isub_y(vx,vy,vz), Isub_z(vx,vy,vz)];
         %determine the gradient magnitude at the current voter location
         vmag = Imag(vx,vy,vz);
         ang_diff = zeros(2*rmax+1, 2*rmax+1, 2*rmax+1);
         for i = 1 : 2*rmax+1
             for j = 1 : 2*rmax+1
                 for k = 1 : 2*rmax+1
                     a  = [mx(i,j,k), my(i,j,k), mz(i,j,k)];
                     c = dot(vgrad, a);
                     ang_diff(i,j,k) = acos(c/(m_mag(i,j,k)* vmag ));
                 end
             end
         end
  
          M_diff = min(2*pi - ang_diff,ang_diff)<phi;
          %compute the final mask
          M = (M_dist .* M_diff);
  
          % get the coordinates of each pixel in the final mask
          [vx_prime,vy_prime,vz_prime] = ind2sub(size(M),find(M));
  
          %transform the local coordinates of the pixels in the voting region
          %to the global coordinates of the image
  
          npts =  numel(vx_prime);
          validPoints(v) = npts; 
  
          g_v_prime(v,1:npts) = vx + (vx_prime - (rmax + 1)) + (vy + (vy_prime - (rmax + 1))-1).*pxPerRow + (vz + (vz_prime - (rmax + 1))-1).*pxPerRow*pxPerCol; 
  
          for n=1: npts
      %             
                    Ivote( g_v_prime(v,n)) = Ivote( g_v_prime(v,n)) + vmag;
          end
          
      end
      
  disp('voting done.');
      %% update the voting direction
  
      for v = 1: nV
         % coordinates of the current voter
         vx = sx(v);
         vy = sy(v);
         vz = sz(v);
  
         %get the local value of the voting image
          local_Ivote = Ivote(g_v_prime(v,1:validPoints(v)));
  
          %find the index of the maximum value
          [~, local_max_idx] = max(local_Ivote);
  
          %convert this into a global subscript
           gz = ceil(g_v_prime(v,local_max_idx)/(pxPerRow*pxPerCol)) ;
           gy = ceil((g_v_prime(v,local_max_idx)-(gz - 1)*pxPerRow*pxPerCol)/pxPerRow);
           gx = g_v_prime(v,local_max_idx)- pxPerRow*((gy - 1) + (gz - 1) * pxPerCol);
  
           %compute the vector from the voter position to this position
           new_vx = gx - vx;
           new_vy = gy - vy;
           new_vz = gz - vz;
           Igrad_x(vx,vy,vz) = new_vx;
           Igrad_y(vx,vy,vz) = new_vy;
           Igrad_z(vx,vy,vz) = new_vz;
      end
  end
  cell_center = Ivote;
  fido = fopen('out\outImg.vol', 'w+');
  fwrite(fido, cell_center);
  fclose(fido);
  t1 = toc