This will have unintended consequences if you have other functions that rely on sum later down the line. sum is an actual function in MATLAB and you would be overshadowing this function with your variable. Option #2 - Convert to grayscale filtr_image = avgFilter(rgb2gray(noisy_image)) Now, if A is a Matrix form, then mean (A) returns a row vector containing the mean of.
Suppose that A is a vector, then mean (A) returns the mean of the components. In MATLAB, mean (A) returns the mean of the components of A along the first array dimension whose size doesn’t equal to 1. Then you'd call it by: filtr_image = avgFilter(noisy_image) Mean or average is the average of a sequence of numbers. Option #1 - Filter per plane function = avgFilter(noisy_image) What you should do is either convert your image into grayscale from RGB or filter each plane separately.Īlso, you have an unnecessary casting performed in the loop. As such, when you are iterating through each pixel in your image, in column major order each plane would be placed side by side each other. If you have a 3D matrix, the number of columns reported by size will be y = size(noisy_image,2)*size(noisy_image,3). The reason why you see "three" is because when you do this to allocate your output filtered image: = size(noisy_image) What is most likely happening is the fact that you are supplying a colour image when the code is specifically meant for grayscale.
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