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5 cards from this section. Quick, good the night before a test.
What function is used to convert an image to grayscale in OpenCV?
Think about changing colors to shades of gray.
How do you resize an image to 300 widths and 200 heights?
What two numbers represent the new dimensions?
What is the main purpose of converting an image to grayscale?
Consider how we might make something easier to analyze.
True or False: Blurring an image can help reduce noise.
Think about why we blur images.
Given a series of images, design a Python program using OpenCV that converts each to grayscale, resizes to 150x150, and applies a Gaussian blur. Discuss potential challenges.
Start with one function at a time and build your program incrementally.
Using OpenCV, how would you create a composite image from three images using blurring and drawing? Design algorithms and provide a sample code.
Layering images can often mislead. Keep track of boundaries and structure initially.
6 more questions in this section. Enroll free to practise them all.
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