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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 17 of 27

Discuss
Answer: (d).Average of pixels in the neighborhood of filter mask
Q162.
Which of the following filter(s) results in a value as average of pixels in the neighborhood of filter mask.
Discuss
Answer: (d).All of the mentioned
Discuss
Answer: (b).Image with reduced sharp transitions in gray levels
Discuss
Answer: (d).All of the mentioned
Q165.
A spatial averaging filter having all the coefficients equal is termed _________
Discuss
Answer: (a).A box filter
Q166.
What does using a mask having central coefficient maximum and then the coefficients reducing as a function of increasing distance from origin results?
Discuss
Answer: (a).It results in increasing blurring in smoothing process
Discuss
Answer: (d).Blurring increases with increase of the size of filter size
Q168.
Which of the following filter(s) has the response in which the central pixel value is replaced by value defined by ranking the pixel in the image encompassed by filter?
Discuss
Answer: (d).All of the mentioned
Q169.
Is it true or false that “the original pixel value is included while computing the median using gray-levels in the neighborhood of the original pixel in median filter case”?
Discuss
Answer: (a).True
Q170.
Two filters of similar size are used for smoothing image having impulse noise. One is median filter while the other is a linear spatial filter. Which would the blurring effect of both?
Discuss
Answer: (a).Median filter effects in considerably less blurring than the linear spatial filters

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