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• Image feature refers to a specific element or piece of information extracted from an image that provides
meaningful insights about its content.
• Convolution is defined as a simple Mathematical operation that multiplies two numeric arrays of the same
dimensions but different sizes to produce a third numeric array of the same dimensions.
• Kernel is also known as a convolution matrix or mask (typically a 3x3 or 5x5 matrix) will help you in image
processing by creating a wide range of effects like sharp, blur, masking etc.
• Convolutional Neural Network is a type of an Artificial Neural Network and is made up of neurons that help
in image recognition and image processing
Exercise (Theory)
Solved Questions
SECTION A (Objective Type Questions)
uiz
A. Tick ( ) the correct option.
1. What is the purpose of facial recognition in smart homes?
a. To increase Internet speed
b. To recognise family members for security purposes
c. To generate digital filters
d. To track weather changes
2. What is the primary goal of Computer Vision?
a. To understand and interpret visual information from the world
b. To simulate human brain activity
c. To create 3D models from images
d. To develop algorithms for natural language processing
3. Which of the following is an application of Computer Vision?
a. Speech recognition b. Autonomous vehicles
c. Text-to-speech conversion d. Chatbot development
4. What is the relationship between Computer Vision and Image Processing?
a. Image Processing is a subset of Computer Vision
b. Computer Vision is a subset of Image Processing
c. They are completely unrelated
d. They perform the same function
5. What does the pixel value represent in an image? [CBSE Handbook]
a. Width of the pixel b. Brightness or colour of the pixel
c. Height of the pixel d. Resolution of the pixel
6. What technology does Google’s Search by Image feature rely on?
a. Speech recognition b. Computer Vision
c. Data compression d. Text-based search only
222 Artificial Intelligence Play (Ver 1.0)-X

