Smoothing Spacial Filter MCQ [Free PDF] - Objective Question Answer for Smoothing Spacial Filter Quiz

11. Smoothing filter is used for which of the following work(s)?

A. Blurring
B. Noise reduction
C. All of the mentioned
D. None of the mentioned

Answer: C

A smoothing filter is used for blurring and noise reduction.

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

A. Sum of image pixels in the neighborhood filter mask
B. Difference of image in the neighborhood filter mask
C. Product of a pixel in the neighborhood filter mask
D. Average of pixels in the neighborhood of filter mask

Answer: D

The average of pixels in the neighborhood of the filter mask is simply the output of the smoothing linear spatial filter.

13. Which of the following filter(s) results in a value as the average of pixels in the neighborhood of the filter mask.

A. Smoothing linear spatial filter
B. Averaging filter
C. Lowpass filter
D. All of the mentioned

Answer: D

The output as an average of pixels in the neighborhood of the filter mask is simply the output of the smoothing linear spatial filter also known as an averaging filter and lowpass filter.

14. What is/is 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

Answer: B

Random noise has sharp transitions in gray levels and smoothing filters do noise reduction.

15. 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

Answer: D

Averaging filter or smoothing linear spatial filter is used: for noise reduction by reducing the sharp transitions in gray level, for smoothing false contours that arise because of the use of an insufficient number of gray values, and for reduction of irrelevant data i.e. the pixels regions that are small in comparison of filter mask.

16. 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

Answer: A

An averaging filter is termed a box filter if all the coefficients of the spatial averaging filter are equal.

17. What does using a mask have a central coefficient maximum and then the coefficients reducing as a function of increasing distance from origin result?

A. It results in increasing blurring in the smoothing process
B. It results to reduce blurring in the smoothing process
C. Nothing with blurring occurs as mask coefficient relation does not affect the smoothing process
D. None of the mentioned

Answer: A

The use of a mask having a central coefficient maximum and then the coefficients reducing as a function of increasing distance from the origin is a strategy to reduce blurring in the smoothing process.

18. What is the relation between the blurring effect and with change in filter size?

A. Blurring increases with the decrease of the size of filter size
B. Blurring decrease with a decrease in the size filter size
C. Blurring decrease with the increase of the size filter size
D. Blurring increases with an increase in the size of filter size

Answer: D

Using a size 3 filter 3*3 and 5*5 size squares and other objects shows a significant blurring with respect to objects of larger size.

The blurring gets more pronounced while using filter sizes 5, 9, and so on.

19. Which of the following filter(s) has the response in which the central pixel value is replaced by a value defined by ranking the pixel in the image encompassed by the filter?

A. Order-Statistic filters
B. Non-linear spatial filters
C. Median filter
D. All of the mentioned

Answer. D

In an Order-Statistic filter also called a non-linear spatial filter, the response is based on ranking the pixel in the image encompassed by a filter that replaces the central pixel value. A Median filter is an example of such a filter.

20. 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

Answer: A

In a median filter, the pixel value is replaced by the median of the gray level in the neighborhood of that pixel, and also the original pixel value is included while computing the median.

21. Two filters of similar size are used for smoothing images having impulse noise. One is a 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

Answer: A

For impulse noise, the median filter is much more effective for noise reduction and causes considerably less blurring than the linear spatial filters.

22. An image contains noise having the appearance of black and white dots superimposed on the image. Which of the following noise(s) has the same appearance?

A. Salt-and-pepper noise
B. Gaussian noise
C. All of the mentioned
D. None of the mentioned

Answer: C

An impulse noise has an appearance as black and white dots superimposed on the image. This is also known as Salt-and-pepper noise.

23. While performing the median filtering, suppose a 3*3 neighborhood has a value (10, 20, 20, 20, 15, 20, 20, 25, 100), then what is the median value to be given to the pixel under filter?

A. 15
B. 20
C. 100
D. 25

Answer: B

The values are first sorted and so turn out to (10, 15, 20, 20, 20, 20, 20, 25, and 100). For a 3*3 neighborhood the 5th largest value is the median, and so is 20.

24. Which of the following are forced to the median intensity of the neighbors by the n*n median filter?

A. Isolated cluster of pixels that are light or dark in comparison to their neighbors
B. Isolated cluster of pixels whose area is less than one-half the filter area
C. All of the mentioned
D. None of the mentioned

Answer: C

The isolated cluster pixel value doesn’t come as a median value and since is either light or dark as compared to neighbors, so is forced with the median intensity of neighbors that aren’t even close to their original value and so are sometimes termed “eliminated”.

If the area of such isolated pixels is < n2/2, that is again the pixel value won’t be a median value and so is eliminated.

Larger cluster pixels value are more pronounced to be a median value, so are considerably less forced to median intensity.

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