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

The video tutorial covers the concept of region of interest (ROI) in image processing using Python. It begins with an introduction to ROI, followed by converting a colored image to grayscale. The tutorial then explains how to manually define points for the ROI and create a mask. Finally, it demonstrates applying the mask to the image using bitwise operations, allowing for focused image analysis.

Explain the significance of the points selected for the region of interest.

What is the outcome of applying a bitwise operation to the original image and the mask?

How can the dimensions of the region of interest be adjusted?