Quiz 18: Image Data in Machine Vision

Evaluate your understanding of image representation, preprocessing techniques, and feature extraction in machine vision.

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1. How is a grayscale image typically represented in digital format?

As a 3D tensor with RGB channels

As a string array

As a 2D matrix of pixel intensities

As a binary tree

2. What does each pixel in a standard RGB color image represent?

An average value of all colors

Only grayscale brightness

A combination of red, green, and blue intensities

The color name as a string

3. Which preprocessing technique adjusts pixel values to a common scale like 0 to 1?

Resizing

Augmentation

Filtering

Normalization

4. Why is resizing images important before feeding them into a neural network?

To ensure all images have consistent dimensions

To improve image resolution

To increase the dataset size

To reduce the number of classes

5. Which augmentation technique simulates objects appearing in different parts of an image?

Color balancing

Resizing

Edge detection

Translation

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