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# Time for action – applying averaging filters in images

We will start off with an easy-to-follow example, so that all the theory described previously is demonstrated. For our purposes, we will be using one of the images from the previous chapters. In this example, we will also introduce some new MATLAB functions, to facilitate your understanding. Let's start:

1. First, we load our image, which is `holiday_image2.bmp`:
`>> img = imread('holiday_image2.bmp');`
2. Then, we generate our convolution kernel, using function `fspecial` and then rotate it 180 degrees:
```>> kernel = fspecial('average',3);
>> kernel = rot90(kernel,2)```
3. The output of the code will be as follows:
```kernel =
0.1111    0.1111    0.1111
0.1111    0.1111    0.1111
0.1111    0.1111    0.1111```
4. Now, it is time to use the three ...

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