MATLAB: How to convolved two image

image processingImage Processing Toolbox

i want to convolved 2 images.

i tried with conv2 but its not working.

i have 2 images one is Gaussian filterd image and other is sharped image. and i would like to convolved this 2 image. i write a code

im = imread('my original.jpg');

myfilter = fspecial('gaussian',[3 3], 0.5);

a = imfilter(image, myfilter);

b = imsharpen(image,'Radius',0.5);

c=conv2(a,b);

plz help me

Best Answer

You DON'T want to use image as the name of a variable - it's the name of a built in function. Plus you need to convert to double when you call the convolution.

grayImage = imread('Cameraman.tif');
grayImage = double(grayImage);
subplot(2,3,1);
imshow(grayImage, []);
axis on;
title('Original Image', 'FontSize', 15);
myfilter = fspecial('gaussian',[3 3], 0.5);
subplot(2,3,2);
imshow(myfilter, []);
axis on;
title('myFilter', 'FontSize', 15);
a = imfilter(grayImage, myfilter);
subplot(2,3,3);
imshow(a, []);
axis on;
title('a', 'FontSize', 15);
b = imsharpen(grayImage,'Radius',0.5);
subplot(2,3,4);
imshow(b, []);
axis on;
title('b', 'FontSize', 15);
c=conv2(a,b, 'full');
subplot(2,3,5);
imshow(c, []);
title('c', 'FontSize', 15);
axis on;

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Like it said, just subtract the smoothed image from the original. That will give you the "edges" or higher spatial frequencies. Since you at least gave a shot at it with some code, I'll give you some "corrected" code:

clc;    % Clear the command window.
close all;  % Close all figures (except those of imtool.)
imtool close all;  % Close all imtool figures.
clear;  % Erase all existing variables.
workspace;  % Make sure the workspace panel is showing.
fontSize = 15;
% Read in a standard MATLAB color demo image.
folder = fullfile(matlabroot, '\toolbox\images\imdemos');
baseFileName = 'peppers.png';
fullFileName = fullfile(folder, baseFileName);
% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);
if ~exist(fullFileName, 'file')
  % Didn't find it there.  Check the search path for it.
  fullFileName = baseFileName; % No path this time.
  if ~exist(fullFileName, 'file')
    % Still didn't find it.  Alert user.
    errorMessage = sprintf('Error: %s does not exist.', fullFileName);
    uiwait(warndlg(errorMessage));
    return;
  end
end
rgbImage = imread(fullFileName);
% Get the dimensions of the image.  numberOfColorBands should be = 3.
[rows columns numberOfColorBands] = size(rgbImage);
% Display the original color image.

subplot(2, 2, 1);
imshow(rgbImage, []);
title('Original Color Image', 'FontSize', fontSize);
% Enlarge figure to full screen.
% set(gcf, 'Position', get(0,'Screensize')); 
set(gcf, 'units','normalized','outerposition',[0 0 1 1]);
sigma = 7;
h=fspecial('gaussian',[35, 35], sigma); 
% Display the original color image.
subplot(2, 2, 2);
surfc(h); 
title('Gaussian Blurring Kernel', 'FontSize', fontSize);
% Smooth it in RGB space.
smoothedImage = imfilter(rgbImage, h, 'same', 'conv'); 
% Display the image.

subplot(2, 2, 3);
imshow(smoothedImage, []);
title('Smoothed Color Image (Low Pass Image)', 'FontSize', fontSize);
% Calculate the difference
diffImage = smoothedImage - rgbImage;
% Display the image.
subplot(2, 2, 4);
imshow(diffImage, []);
title('Edges Image (High Pass Image)', 'FontSize', fontSize);
msgbox('Done with demo!');

However, you're probably better off doing it in the V channel of HSV color space, rather than in rgb color space, to avoid color artifacts.

MATLAB: I need to wirte a MATLAB program that employs MA filterto an image, then display the original image, the filtered image and the difference of the images. How to go around doing this, I have no idea

I don't know what an MA filter is, but let's say that you have a function that does it. Then you do this

filteredImage = ma_filter(originalImage);
differenceImage = double(filteredImage) - double(originalImage);
% Now display
subplot(2,2,1);
imshow(originalImage, []);
title('Original Image', 'FontSize', 15);
subplot(2,2,2);
imshow(filteredImage, []);
title('Filtered Image', 'FontSize', 15);
subplot(2,2,3);
imshow(differenceImage, []);
title('Difference Image', 'FontSize', 15);

Best Answer

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MATLAB: How to separate image as like below in the given link

MATLAB: I need to wirte a MATLAB program that employs MA filterto an image, then display the original image, the filtered image and the difference of the images. How to go around doing this, I have no idea

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