Create a mask
Masks are the primary method for removing or selecting specific parts of an image. They are binary arrays that indicate whether a value should be included in an analysis. Typically, masks are created by applying one or more logical operations to an image.
For this exercise, try to use a simple intensity threshold to differentiate between skin and bone in the hand radiograph. (im has been equalized to utilize the whole intensity range.)
Below is the histogram of im colored by the segments we will plot.
This exercise is part of the course
Biomedical Image Analysis in Python
Exercise instructions
- Create a bone mask by selecting pixels with intensities greater than or equal to
145. - Create a skin mask by selecting pixels with intensities greater than or equal to
45and less than145. - Plot the skin and bone masks in grayscale.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create skin and bone masks
mask_bone = ____
mask_skin = ____
# Plot the skin (0) and bone (1) masks
fig, axes = plt.subplots(1,2)
axes[0].imshow(____)
axes[1].imshow(____)
format_and_render_plot()