Explore topic-wise MCQs in Digital Image Processing.

This section includes 29 Mcqs, each offering curated multiple-choice questions to sharpen your Digital Image Processing knowledge and support exam preparation. Choose a topic below to get started.

1.

What is the maximum area of the cluster that can be eliminated by using an n×n median filter?

A. n2
B. n2/2
C. 2*n2
D. n
Answer» C. 2*n2
2.

Which of the following filters response is based on ranking of pixels?

A. Nonlinear smoothing filters
B. Linear smoothing filters
C. Sharpening filters
D. Geometric mean filter
Answer» B. Linear smoothing filters
3.

Which of the following comes under the application of image blurring?

A. Object detection
B. Gross representation
C. Object motion
D. Image segmentation
Answer» C. Object motion
4.

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
Answer» E.
5.

Box filter is a type of smoothing filter.

A. True
B. False
Answer» B. False
6.

The mask shown in the figure below belongs to which type of filter?

A. Sharpening spatial filter
B. Median filter
C. Sharpening frequency filter
D. Smoothing spatial filter
Answer» E.
7.

Smoothing spatial filters doesn’t smooth the false contours.

A. True
B. False
Answer» C.
8.

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
Answer» E.
9.

Which of the following filters response is based on ranking of pixels?$

A. Nonlinear smoothing filters
B. Linear smoothing filters
C. Sharpening filters
D. Geometric mean filter
Answer» B. Linear smoothing filters
10.

Which of the following comes under the application of image blurring?$

A. Object detection
B. Gross representation
C. Object motion
D. Image segmentation
Answer» C. Object motion
11.

What is the maximum area of the cluster that can be eliminated by using an n√ón median filter?$

A. n<sup>2</sup>
B. n<sup>2</sup>/2
C. 2*n<sup>2</sup>
D. n
Answer» C. 2*n<sup>2</sup>
12.

Median filters are effective in the presence of impulse noise.

A. True
B. False
Answer» B. False
13.

Median filter belongs to which category of filters?

A. Linear spatial filter
B. Frequency domain filter
C. Order static filter
D. Sharpening filter
Answer» D. Sharpening filter
14.

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
Answer» C. Eliminate median value of pixels
15.

Box filter is a type of smoothing filter?

A. True
B. False
Answer» B. False
16.

Best example for a Order-statistic filter is ___________________?

A. Impulse filter
B. Averaging filter
C. Median filter
D. None of the Mentioned
Answer» D. None of the Mentioned
17.

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
Answer» D. None of the Mentioned
18.

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
Answer» E.
19.

Smoothing spatial filters doesn’t smooth the false contours.$

A. True
B. False
Answer» C.
20.

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
Answer» B. Squared average
21.

Which of the following is the disadvantage of using smoothing filter?

A. Blur edges
B. Blur inner pixels
C. Remove sharp transitions
D. Sharp edges
Answer» B. Blur inner pixels
22.

A spatial averaging filter in which all coefficients are equal is called _______________.

A. Square filter
B. Neighbourhood
C. Box filter
D. Zero filter
Answer» D. Zero filter
23.

Which of the following in an image can be removed by using smoothing filter?

A. Smooth transitions of gray levels
B. Smooth transitions of brightness levels
C. Sharp transitions of gray levels
D. Sharp transitions of brightness levels
Answer» D. Sharp transitions of brightness levels
24.

What is the undesirable side effects of Averaging filters?

A. No side effects
B. Blurred image
C. Blurred edges
D. Loss of sharp transitions
Answer» D. Loss of sharp transitions
25.

Smoothing linear filter is also known as median filter.

A. True
B. False
Answer» C.
26.

Averaging filters is also known as ____________ filter.

A. Low pass
B. High pass
C. Band pass
D. None of the Mentioned
Answer» B. High pass
27.

What is the output of a smoothing, linear spatial filter?

A. Median of pixels
B. Maximum of pixels
C. Minimum of pixels
D. Average of pixels
Answer» E.
28.

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
Answer» D. Dot Product
29.

Noise reduction is obtained by blurring the image using smoothing filter.

A. True
B. False
Answer» B. False