Mean absolute error
Cost functions and objective functions output a single value that summarizes how well two images match.
The mean absolute error (MAE), for example, summarizes intensity differences between two images, with higher values indicating greater divergence.
For this exercise, calculate the mean absolute error between im1 and im2 step-by-step.
Diese Übung ist Teil des Kurses
Biomedical Image Analysis in Python
Interaktive Übung
Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.
# Calculate image difference
err = ____
# Plot the difference
____
format_and_render_plot()