Classical Methods

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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.

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Lesson Overview#

The following lesson is in two acts, each introduced by a lecture component:

  • Act 1: Learn how to write Python code to conduct classical segmentation processing on a single image

  • Act 2: Learn how to adapt the code to process many images

In Act 1, we will walk through the following classical processing steps:

  1. Setup

  2. Loading an Image

  3. Filtering

  4. Thresholding

  5. Labeling

  6. Mask Refinement

In Act 2, we will finish the lesson with the following section:

  1. Processing Many Images

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Let’s get ready to code!

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