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.

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

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

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