Digital Image Processing Questions and Answers – Smoothing Spacial Filters

This set of Digital Image Processing Multiple Choice Questions & Answers (MCQs) focuses on “Smoothing Spacial Filters”.

1. The output of a smoothing, linear spatial filtering is a ____________ of the pixels contained in the neighbourhood of the filter mask.
a) Sum
b) Product
c) Average
d) Dot Product

Explanation: Smoothing is simply the average of the pixels contained in the neighbourhood.

2. Averaging filters is also known as ____________ filter.
a) Low pass
b) High pass
c) Band pass
d) None of the Mentioned

Explanation: Averaging filters is also known as Low pass filters.

3. What is the undesirable side effects of Averaging filters?
a) No side effects
b) Blurred image
c) Blurred edges
d) Loss of sharp transitions

Explanation: Blue edges is the undesirable side effect of Averaging filters.

4. A spatial averaging filter in which all coefficients are equal is called _______________.
a) Square filter
b) Neighbourhood
c) Box filter
d) Zero filter

Explanation: It is called a Box filter.

5. Which term is used to indicate that pixels are multiplied by different coefficients?
a) Weighted average
b) Squared average
c) Spatial average
d) None of the Mentioned

Explanation: It is called weighted average since more importance(weight) is given to some pixels.

6. The non linear spacial filters whose response is based on ordering of the pixels contained is called _____________.
a) Box filter
b) Square filter
c) Gaussian filter
d) Order-statistic filter

Explanation: It is called Order-statistic filter.

7. Impulse noise in Order-statistic filter is also called as _______________
a) Median noise
b) Bilinear noise
c) Salt and pepper noise
d) None of the Mentioned

Explanation: It is called salt-and-pepper noise because of its appearance as white and black dots superimposed on an image.

8. Best example for a Order-statistic filter is ____________________
a) Impulse filter
b) Averaging filter
c) Median filter
d) None of the Mentioned

Explanation: Median filter is the best known Order-statistic filter.

9. What does “eliminated” refer to in median filter?
a) Force to average intensity of neighbours
b) Force to median intensity of neighbours
c) Eliminate median value of pixels
d) None of the Mentioned

Explanation: It refers to forcing to median intensity of neighbours.

10. Which of the following is best suited for salt-and-pepper noise elimination?
a) Average filter
b) Box filter
c) Max filter
d) Median filter

Explanation: Median filter is better suited than average filter for salt-and-pepper noise elimination.

Sanfoundry Global Education & Learning Series – Digital Image Processing.

To practice all areas of Digital Image Processing, here is complete set of 1000+ Multiple Choice Questions and Answers.

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