Filter convolutions
Filters are an essential tool in image processing. They allow you to transform images based on intensity values surrounding a pixel, rather than globally.
![2D array convolution. By Michael Plotke [CC BY-SA 3.0 (https://creativecommons.org/licenses/by-sa/3.0)], from Wikimedia Commons](https://assets.datacamp.com/production/repositories/2085/datasets/2abe93cb1c040ccc265be7f36db36eb163d91c58/Ch2_L3_ConvolutionGif.gif)
For this exercise, smooth the foot radiograph. First, specify the weights to be used. (These are called "footprints" and "kernels" as well.) Then, convolve the filter with im and plot the result.
This exercise is part of the course
Biomedical Image Analysis in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Set filter weights
weights = [[0.11, 0.11, ____],
[0.11, ____, 0.11],
____]