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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

Explore more Topics under Digital Image Processing (DIP)

Q161.
The response of the smoothing linear spatial filter is/are __________

a.

Sum of image pixel in the neighborhood filter mask

b.

Difference of image in the neighborhood filter mask

c.

Product of pixel in the neighborhood filter mask

d.

Average of pixels in the neighborhood of filter mask

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.

a.

Smoothing linear spatial filter

b.

Averaging filter

c.

Lowpass filter

d.

All of the mentioned

Discuss
Answer: (d).All of the mentioned
Q163.
What is/are the resultant image of a smoothing filter?

a.

Image with high sharp transitions in gray levels

b.

Image with reduced sharp transitions in gray levels

c.

All of the mentioned

d.

None of the mentioned

Discuss
Answer: (b).Image with reduced sharp transitions in gray levels
Q164.
At which of the following scenarios averaging filters is/are used?

a.

In the reduction of irrelevant details in an image

b.

For smoothing of false contours

c.

For noise reductions

d.

All of the mentioned

Discuss
Answer: (d).All of the mentioned
Q165.
A spatial averaging filter having all the coefficients equal is termed _________

a.

A box filter

b.

A weighted average filter

c.

A standard average filter

d.

A median filter

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?

a.

It results in increasing blurring in smoothing process

b.

It results to reduce blurring in smoothing process

c.

Nothing with blurring occurs as mask coefficient relation has no effect on smoothing process

d.

None of the mentioned

Discuss
Answer: (a).It results in increasing blurring in smoothing process
Q167.
What is the relation between blurring effect with change in filter size?

a.

Blurring increases with decrease of the size of filter size

b.

Blurring decrease with decrease of the size of filter size

c.

Blurring decrease with increase of the size of filter size

d.

Blurring increases with increase of the size of filter size

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?

a.

Order-Statistic filters

b.

Non-linear spatial filters

c.

Median filter

d.

All of the mentioned

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”?

a.

True

b.

False

c.

May be

d.

Can't Say

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?

a.

Median filter effects in considerably less blurring than the linear spatial filters

b.

Median filter effects in considerably more blurring than the linear spatial filters

c.

Both have the same blurring effect

d.

All of the mentioned

Discuss
Answer: (a).Median filter effects in considerably less blurring than the linear spatial filters
Page 17 of 27

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