Practice Edge Detection Filter - 22.4.1 | 22. Convolution Operator | CBSE Class 10th AI (Artificial Intelleigence)
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the main purpose of an edge detection filter?

💡 Hint: Think about what features are most noticeable in an image.

Question 2

Easy

What does a feature map represent?

💡 Hint: Consider what changes occur after filtering an image.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the primary function of an edge detection filter?

  • To blur an image
  • To identify edges
  • To resize an image

💡 Hint: Think about the visual changes in an image.

Question 2

True or False: Edge Detection Filters are only useful for handling grayscale images.

  • True
  • False

💡 Hint: Reflect on the versatility of filters in image processing.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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]

💡 Hint: Remember to carefully apply the convolution operation step by step to get accurate results.

Question 2

Discuss how edge detection can fail in case of noisy images. What preprocessing techniques can you adopt to improve results before applying edge detection?

💡 Hint: Consider what occurs when you add noise to a clear image.

Challenge and get performance evaluation