what happens if i increase the kernel to 5x5 or to 7x7?is there anyway to write that in matlab code.?

i am trying to do a programming for what happens when we increase a kernel to 5x5 or to 7x7. please let me know how to do the matlab programming

[the cyclist]

http://www.mathworks.com/matlabcentral/answers/6200-tutorial-how-to-ask-a-question-on-answers-and-get-a-fast-answer

[Sat m]

thank you for the link, but i really need an answer of this question. it is asked in the same way in my assignment

[Matt Kindig]

I'm not sure what you mean by "programming for describing the effect"? How would you write a program to "describe" something? Wouldn't you just express this using a paragraph?

[Sat m]

i am sorry for the description of question. the question was what happens when you increase the kernel size to 5x5 or to 7x7? write a program for that. can you please help me to write a program for this?

[Matt Kindig]

Well the result of increasing the kernel is going to depend on what type of image processing you are doing (blurring, sharpening, etc.). What is your code thus far?

[Sat m]

i do not have any code so far.... i am searching for code to increase kernel size so far....still working on that....can you help me please?

[Sat m]

this is my code...but it is not working. i am trying to increase the kernel to 5x5 so that the image can be blurred

   baseFile = 'violet.bmp';
  origimage = imread('violet','bmp');

origimage = origimage(:,:,1);
figure, imagesc(origimage)
axis square
colormap gray
title('Original Image')
set(gca, 'XTick', [], 'YTick', [])

%Blur Kernel
ksize = 5;
kernel1 = zeros(ksize);
%Gaussian Blur
s = 3;
m = ksize/2;
[X, Y] = meshgrid(1:ksize);
kernel = (1/(2*pi*s^2))*exp(-((X-m).^2 + (Y-m).^2)/(2*s^2));
%Display Kernel
figure, imagesc(kernel)
axis square
title('Blur Kernel')
colormap gray
%Embeding kernel in image that is size of original image
[h, w] = size(origimage);
kernelimage = zeros(h,w);
kernelimage(1:ksize, 1:ksize) = kernel;
%Performing 2D FFTs
fftimage = fft2(double(origimage));
fftkernel = fft2(kernelimage);

%Set all zero values to minimum value
fftkernel(fftkernel == 0) = 1e-6;
%Multiply FFTs
fftblurimage = fftimage.*fftkernel;
%Perform Inverse 2D FFT
blurimage = ifft2(fftblurimage);
%Display Blurred Image
figure, imagesc(blurimage)
axis square
title('Blurred Image')
colormap gray
set(gca, 'XTick', [], 'YTick', [])

Answer 1

[Image Analyst]

For example, to create median filtered images:

filtered5x5Image = medfilt2(grayImage, [5, 5]);
filtered7x7Image = medfilt2(grayImage, [7, 7]);

Call imshow() to display the results.

[Sat m]

 thank you very much. it is working now.