Create a computer vision system using decision tree algorithms to solve a real-world problem : Region of interest maskin

The video tutorial introduces the concept of region of interest (ROI) masking, particularly in the context of self-driving cars. It explains how ROI masking helps focus on specific areas of an image, such as lane lines or pedestrians, by creating a mask that highlights these regions. The tutorial covers the creation of masks, setting pixel values, and applying the end operation to extract the desired image areas. The end operation is likened to a multiplication process, where only the regions of interest are retained in the final image.

Why is region of interest masking important in self-driving car applications?

• To change the color of the sky

• To increase the speed of the car

• To focus on relevant areas for detection

• To enhance the entire image quality

What is the first step in performing region of interest masking?

• Creating a mask image

• Analyzing the sky

• Changing the camera settings

• Adjusting the car's speed

In the context of masking, what does setting a pixel to zero represent?

• A white pixel

• A blue pixel

• A red pixel

• A black pixel

What is the purpose of the end operation in region of interest masking?

• To add colors to the image

• To combine the mask and image

• To delete the original image

• To change the image resolution

In digital logic design, what is the result of an end operation with inputs 1 and 1?

• Undefined

• 0

• 1

• 2