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3 cards from this section. Quick, good the night before a test.
What is the main purpose of an edge detection filter?
Think about what features are most noticeable in an image.
What does a feature map represent?
Consider what changes occur after filtering an image.
What is the primary function of an edge detection filter?
Think about the visual changes in an image.
True or False: Edge Detection Filters are only useful for handling grayscale images.
Reflect on the versatility of filters in image processing.
Given a 5x5 image matrix, apply an edge detection filter and calculate the resulting feature map. Use the following image matrix: [100, 150, 100, 150, 100], [150, 200, 150, 200, 150], [100, 150, 100, 150, 100], [150, 200, 150, 200, 150], [100, 150, 100, 150, 100]
Remember to carefully apply the convolution operation step by step to get accurate results.
Discuss how edge detection can fail in case of noisy images. What preprocessing techniques can you adopt to improve results before applying edge detection?
Consider what occurs when you add noise to a clear image.
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