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

This lecture covers the process of extracting color features from images using histograms. It begins with downloading and displaying an image, followed by plotting histograms for the red, green, and blue color channels using OpenCV. The lecture also discusses potential applications, such as lane detection, and encourages further exploration with different images. The session concludes with a recap of the steps taken to plot color histograms.

What steps are involved in downloading and visualizing the image?

How can the histogram information be used in practical applications?