Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Code to perfor

This lecture covers the process of Harris corner detection, starting with library imports and testing on a chessboard image. The instructor explains image conversion to grayscale, corner detection, and enhancing corner visibility through dilation. The lecture also demonstrates applying color to detected corners and extends the technique to a truck image. The session concludes with a recap of the steps and outcomes.

How does dilation enhance the visibility of detected corners?

What threshold value is suggested for identifying corners in the image?

What challenges were faced when detecting corners in the truck image compared to the chess board?