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Welcome to the Intensity Transformations and Spatial Filtering MCQs Page

Dive deep into the fascinating world of Intensity Transformations and Spatial Filtering with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Intensity Transformations and Spatial Filtering, a crucial aspect of Digital Image Processing (DIP). In this section, you will encounter a diverse range of MCQs that cover various aspects of Intensity Transformations and Spatial Filtering, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Digital Image Processing (DIP).

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Check out the MCQs below to embark on an enriching journey through Intensity Transformations and Spatial Filtering. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Digital Image Processing (DIP).

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Intensity Transformations and Spatial Filtering. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Intensity Transformations and Spatial Filtering MCQs | Page 6 of 27

Explore more Topics under Digital Image Processing (DIP)

Q51.
The mask shown in the figure below belongs to which type of filter?
Discuss
Answer: (d).Smoothing spatial filter
Q52.
The mask shown in the figure below belongs to which type of filter?
Discuss
Answer: (c).Smoothing spatial filter
Q53.
If the size of the averaging filter used to smooth the original image to first image is 9, then what would be the size of the averaging filter used in smoothing the same original picture to second in second image?

a.

3

b.

5

c.

9

d.

15

Discuss
Answer: (d).15
Q54.
Noise reduction is obtained by blurring the image using smoothing filter.
Discuss
Answer: (a).True
Q55.
What is the output of a smoothing, linear spatial filter?
Discuss
Answer: (d).Average of pixels
Q56.
Smoothing linear filter is also known as median filter.
Discuss
Answer: (b).False
Discuss
Answer: (c).Sharp transitions of gray levels
Q58.
Which of the following is the disadvantage of using smoothing filter?
Discuss
Answer: (a).Blur edges
Q59.
Smoothing spatial filters doesn’t smooth the false contours.
Discuss
Answer: (b).False
Q60.
Box filter is a type of smoothing filter.
Discuss
Answer: (a).True

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