Write a function called blur that blurs the input image. The function is to be called like this:
output = blur(img,w);
where img, the input image is a two-dimensional matrix of grayscale pixel values between 0 and 255. Blurring is to be carried out by averaging the pixel values in the vicinity of every pixel. Specifically, the output pixel value is the mean of the pixels in a square submatrix of size 2w+1 where the given pixel sits in the center. For example, if w is 1, then we use a 3x3 matrix, that is, we average all the neighboring pixels of the given pixel and itself. Only use valid pixels when portions of the blurring matrix fall outside the image. For example, the blurred value corresponding to w = 1 at index (1,1) would be the mean of of elements (1,1), (1, 2), (2,1) and (2, 2). Both input img and output output are of type uint8.
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to use in MATLAB.
Code to call your function
img = imread('vandy.png');
output = blur(img,2);
imshow(output);
Can anyone please tell me where I am going wrong with the following code for this question? The code doesnot blur the image and just shows me the image.
function output = blur(img,w)
B=double(img);
[row col] = size(B);
k=2*w+1;
for r=2:row-k
for c=2:col-k
MeanPixelVal=0;
for r1=r:(r+k-1)
for c1=c:(c+k-1)
MeanPixelVal = MeanPixelVal + double(img(r1,c1));
end
end
MeanPixelVal = MeanPixelVal/(k*k);
blurimg(r,c) = uint8(MeanPixelVal);
end
end
subplot(1,2,1); imshow(img); title('gray image, image intensity 0 - 255');
subplot(1,2,2); imshow(blurimg); str = strcat('blur image, w = ',num2str(w)); title(str);
output = uint8(B);
end
