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Learn OpenCV 4 by Building Projects - Second Edition by Prateek Joshi, Vinicius G. Mendonca, David Millan Escriva

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Computer vision and the machine learning workflow 

Computer vision applications with machine learning have a common basic structure. This structure is divided into different steps:

  1. Pre-process
  2. Segmentation
  3. Feature extraction
  4. Classification result
  5. Post-process

These are common in almost all computer vision applications, while others are omitted. In the following diagram, you can see the different steps that are involved:

Almost all computer vision applications start with a Pre-process applied to the input image, which consists of the removal of light and noise, filtering, blurring, and so on. After applying all pre-processing required to ...

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