Fuzzy Techniques – Transformations and Filtering MCQ Quiz

21. Which of the following helps to obtain the number of bits to be used to quantize each pixel.

A. Gray-level slicing
B. Contrast stretching
C. Contouring
D. Bit-plane slicing

Answer: D

Bits-plane slicing helps in obtaining the importance played by each bit in the image by separating the image into bit-planes.

 

22. Which of the following in an image can be removed by using a 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: C

The smoothing filter replaces the value of every pixel in an image with the average value of the gray levels. So, this helps in removing the sharp transitions in the gray levels between the pixels. This is done because random noise typically consists of sharp transitions in gray levels.

 

23. Which of the following is the disadvantage of using a smoothing filter?

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

Answer: A

Edges, which almost always are desirable features of an image, also are characterized by sharp transitions in gray levels. So, averaging filters have an undesirable side effect that they blur these edges.

 

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

A. True
B. False

Answer: B

One of the applications of smoothing spatial filters is that they help in smoothing the false contours that result from using an insufficient number of gray levels.

 

25. 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: D

This is a smoothing spatial filter. This mask yields a so-called weighted average, which means that different pixels are multiplied with different coefficient values. This helps in giving much importance to some pixels at the expense of others.

 

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

A. Sharpening spatial filter
B. Median filter
C. Smoothing spatial filter
D. Sharpening frequency filter

Answer: C

The mask shown in the figure represents a 3×3 smoothing filter. The use of this filter yields the standard average of the pixels under the mask.

 

27. Box filter is a type of smoothing filter.

A. True
B. False

Answer: A

A spatial averaging filter or spatial smoothening filter in which all the coefficients are equal is also called a box filter.

 

28. If the size of the averaging filter used to smooth the original image to the first image is 9, then what would be the size of the averaging filter used in smoothing the same original picture to the second in the second image?

A. 3
B. 5
C. 9
D. 15

Answer: D

We know that as the size of the filter used in smoothening the original image that is averaging filter increases then the blurring of the image. Since the second image is more blurred than the first image, the window size should be more than 9.

 

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

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

Answer: B

An important application of spatial averaging is to blur an image to get a gross representation of interesting objects, such that the intensity of the small objects blends with the background and large objects become easy to detect.

 

30. Which of the following filter’s responses is based on the ranking of pixels?

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

Answer: A

Order static filters are nonlinear smoothing spatial filters whose response is based on the ordering or ranking of the pixels contained in the image area encompassed by the filter, and then replace the value of the central pixel with the value determined by the ranking result.

Scroll to Top