Classical Methods#
Classical methods in segmentation processing generally refers to using intensity thresholding to segmenting image. However, another important aspect that distinguishes classical methods from machine learning and deep learning approaches is the level of human input in the process. Classical methods have the highest amount of human input.
Lesson Overview#
The following lesson will contain lecture and lab components:
Lecture: Learn how to conduct classical segmentation processing on a single image
Lab: Classically segment an image using Python
Lecture: Learn how to adapt the code to process many images
Lab: Modify classical segmentation code to process many images
Let’s get ready to code!