Computer vision applications with machine learning have a common basic structure. This structure is divided into different steps:
- Feature extraction
- Classification result
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 ...