Image Cdata cannot be complex!!!

hello..i am working on a code which gives me this error Error using ==> image Error using ==> image Image CData can not be complex

Error in ==> imagesc at 19 hh = image(varargin{1},'CDataMapping','scaled');

Error in ==> file1>GABOR_Callback at 794 h = imagesc( gb ); % show the edge image

i dont no how to solve it..help me please..

    I = getimage();
    I=I(:,:,2);
    lambda  = 8;
     theta   = 0;
     psi     = [0 pi/2];
     gamma   = 0.5;
     bw      = 1;
     N       = 1;
     img_in = im2double(I);

    %img_in(:,:,2:3) = [];   % discard redundant channels, it's gray anyway
    img_out = zeros(size(img_in,1), size(img_in,2), N);
  for n=1:N
    gb = gabor_fn(bw,gamma,psi(1),lambda,theta)...
        + 1i * gabor_fn(bw,gamma,psi(2),lambda,theta);
    % gb is the n-th gabor filter
    %img_out(:,:,n) = imfilter(img_in, gb, 'symmetric');
   % filter output to the n-th channel
   figure(1);
imshow(img_in);
title('input image');
 figure(2);
 imshow(gb);
theta = 15 * n;  % next orientation
% Get size of existing image A. 
A=img_in;
B=gb;
[rowsA colsA numberOfColorChannelsA] = size(img_in); 
% Get size of existing image B. 
[rowsB colsB numberOfColorChannelsB] = size(gb); 
% See if lateral sizes match. 
if rowsB ~= rowsA || colsA ~= colsB 
% Size of B does not match A, so resize B to match A's size. 
B = imresize(B, [rowsA colsA]); 
end
imshow(img_in); 
hold on;
h = imagesc( gb ); % show the edge image
set( h, 'AlphaData', .5 ); % .5 transparency
colormap gray ;
end

Answer 1

[Wayne King]

If you are taking the Gabor transform, you like want to display the magnitude image, change the line

h = imagesc(gb);

to

h = imagesc(abs(gb));

[vidya]

thank you sir, i did so..but the output image i am getting is just a dot. actually i am tryin to impose the filtered image gabor on my original image. but its not working

[Wayne King]

what does

size(gb)

return

[vidya]

sorry for delay sir ...

f=size(r); f

f =

         900        1200           3

sir i have two lines of code..could you please tell me what is happening here.

      img_out_disp = sum(abs(img_out).^2, 3).^0.5;
                 %default superposition method, L2-norm

       img_out_disp = img_out_disp./max(img_out_disp(:));
            %normalize
             imshow(img_out_disp);