how to apply histogram and median filters for a jpg imag??

when i apply to the image it is showing error

Error using medfilt2
Expected input number 1, A, to be two-dimensional.

Error in medfilt2>parse_inputs (line 110)
validateattributes(a, {'numeric','logical'}, {'2d','real'}, mfilename, 'A', 1);

Error in medfilt2 (line 47)
[a, mn, padopt] = parse_inputs(varargin{:});

Error in medhistfilter (line 7)
m=medfilt2(pic);

how do i overcome this??

[seshi reddy]

if true
  % code
endclear;
clc;
pic=imread('C:\masters courses\applications of dsp\project2\GW_1200.jpg');
subplot(3,3,1);
imshow(pic);
title('original image');
m=medfilt2(pic);
subplot(3,3,2);
imshow(m);
title('Median Fileter of image');
a10=histeq(pic);
subplot(3,3,3);
imshow(a10);
title('Histogram equalization of image');
the above one is my program

[Image Analyst]

Please read this: http://www.mathworks.com/matlabcentral/answers/13205-tutorial-how-to-format-your-question-with-markup

[seshi reddy]

when i was pasting my program in the box it was ok but in the preview its coming like that and i am not able to change that. i am sorry

[Image Analyst]

You are. Edit the post, highlight the code (and ONLY the code), then click {}Code.

[seshi reddy]

see this is the first time i am using matlab, so i doesnt know al these things

[Image Analyst]

Did you try my Answer? It should fix the problem.

[seshi reddy]

i had done that you can check the code now

[Image Analyst]

Sorry, I don't see in your code where you area extracting one color channel or are calling rgb2gray(). Where is that?

[seshi reddy]

clear;
clc;
pic=imread('C:\masters courses\applications of dsp\project2\GW_1200.jpg');
grayImage = rgb2gray(pic);
subplot(3,3,1);
imshow(grayimage);
title('original image');
m=medfilt2(grayimage);
subplot(3,3,2);
imshow(m);
title('Median Fileter of image');
a10=histeq(grayimage);
subplot(3,3,3);
imshow(a10);
title('Histogram equalization of image');

Answer 1

[Image Analyst]

pic is probably a color image. Either take one of the color channels

oneChannel = pic(:,:,2); % Take green channel.

or convert to gray scale

grayImage = rgb2gray(pic);

[Image Analyst]

Attach GW_1200.jpg so I can try your code, which looks like it should work.

[Image Analyst]

It worked fine. I didn't have to do anything. I did fancy it up a bit though. Run the attached code to get the figure below.

[Image Analyst]

Can you mark the answer as Accepted then? Thanks in advance.

[Abdulmu'min Musa]

Hi, i have similar problem and using your code, it works perfectly well. Nice one, kudos to you. Pls, in mine, i am trying to have the images i.e the gray image, the median filtered image, and the histogram equalized image in seperate window, i tried using the command "figure", but i am not getting a satisfactory result. Can you help pls? Will appreciate it.

[Image Analyst]

Try this:

hFig = figure; % Bring up an empty, new figure window.
subplot(1, 3, 1); % Bring up image on the left
imshow(grayImage); % Show original image
hFig.WindowState = 'maximized'; % Maximize figure window.
subplot(1, 3, 2); % Bring up image on the middle
imshow(medianImage); % Show median filtered image
subplot(1, 3, 3); % Bring up image on the right
imshow(equalizedImage); % Show histogram equalized image

Modify to use your image variable names. Or use subplot(3, 1, n) if you want images displayed vertically instead of horizontally.

[Abdulmu'min Musa]

Thanks, but what i mean here is that i dont want to use the "subplot" code but the "figure" code, so that each of the image will be displayed seperately.

I want to create a new figure window to display the gray image, another figure window to display median filtered image and another figure window to display histogram equalized image.

Pls help. Thanks

[Image Analyst]

Well just make the obvious change to replace subplot with figure;

figure; % Bring up an empty, new figure window.
imshow(grayImage); % Show original image
figure; % Bring up an empty, new figure window.
imshow(medianImage); % Show median filtered image
figure; % Bring up an empty, new figure window.
imshow(equalizedImage); % Show histogram equalized image