问题
I have a n-dimensional vector (1xn dataset, and it is not image data), and I want to apply a Gaussian filter to it. I have the Image Processing Toolkit, and a few others (ask if you need a list).
Presumably I can make the hsize parameter of the fspecial function something like [1 n].
Can I still use imfilter to apply it to my vector as the next step, or should I be using something else?
I've seen quite a few examples on how to apply a Gaussian filter to two dimensional image data in Matlab, but I'm still relatively new to Matlab as a platform so an example would be really good.
Note: I'm not currently in a position to just try it and see what happens (not currently on a machine with Matlab installed), otherwise I would have tried it first and only asked if I ran into problems using fspecial and imfilter.
回答1:
Why not create the Gaussian filter yourself? You can look at the formula in fspecial (or any other definition of a Gaussian):
sigma = 5;
sz = 30; % length of gaussFilter vector
x = linspace(-sz / 2, sz / 2, sz);
gaussFilter = exp(-x .^ 2 / (2 * sigma ^ 2));
gaussFilter = gaussFilter / sum (gaussFilter); % normalize
and in order to apply it you can use filter:
y = rand(500,1);
yfilt = filter (gaussFilter,1, y);
and don't forget the filter has latency, which means the filtered signal is shifted as compared to the input signal. Since this filter is symmetric, you can get a non-shifted output by using conv instead of filter, and use the same option:
yfilt = conv (y, gaussFilter, 'same');
来源：https://stackoverflow.com/questions/6992213/gaussian-filter-on-a-vector-in-matlab