Automatic threshold for binarization
Prerequisites
Before starting this lesson, you should be familiar with:
Learning Objectives
After completing this lesson, learners should be able to:
Understand how an image histogram can be used to derive a threshold
Apply automatic threshold to distinguish foreground and background pixels
Motivation
The manual fixing of a threshold value is user dependent and may require adjustments for every images. This is problematic as
it reduces the reproducibility of the results and precludes from applying the binarization to many different images.
It is therefore important to have a mathematical approach to automatically find a threshold for binarization.
Concept map
Example figure
Activity
Assessment
Follow-up material
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