Create a computer vision system using decision tree algorithms to solve a real-world problem : Corner detection – Harris

What are the main features that can be detected in an image according to the lecture?

Explain how edges are identified in an image.

What is the significance of the kernel in edge detection?

Describe the process of detecting corners in an image.

What is Harris corner detection and how does it work?

What are the limitations of corner detection mentioned in the lecture?

How can corner detection be affected by image scaling?