Create a computer vision system using decision tree algorithms to solve a real-world problem : Convolutions - Sharpening

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Information Technology (IT), Architecture
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University
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Hard
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is one of the daily applications of convolutions mentioned in the video?
Video streaming
Text recognition
Snapchat filters
Image compression
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a kernel matrix used for in image processing?
To apply effects like blurring and sharpening
To store image metadata
To increase image resolution
To convert images to grayscale
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the practical example, what operation is performed between the kernel matrix and the image pixels?
Division
Multiplication
Subtraction
Addition
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the result of applying a kernel matrix to an image?
A new image with modified effects
A compressed version of the image
A black and white version of the image
A higher resolution image
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a sharpening kernel do to an image?
Enhances the contrast of certain pixels
Reduces the image size
Blurs the image
Converts the image to grayscale
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the key element to ensure when applying a blurring kernel?
The kernel should have a sum of one
The kernel should be square
The kernel should have a sum of zero
The kernel should be larger than the image
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT a type of kernel mentioned in the video?
Box blur kernel
Gaussian blur kernel
Edge detection kernel
Sharpening kernel
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