# Smoothing Spatial Filters MCQ [Free PDF] – Objective Question Answer for Smoothing Spatial Filters Quiz

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

A. True
B. False

Noise reduction is obtained by blurring the image using a smoothing filter. Blurring is used in pre-processing steps, such as the removal of small details from an image prior to object extraction and, bridging of small gaps in lines or curves.

2. 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

The output or response of smoothing, the linear spatial filter is simply the average of the pixels contained in the neighborhood of the filter mask. [/bg_collapse]

3. Smoothing linear filter is also known as a median filter.

A. True
B. False

Since the smoothing spatial filter performs the average of the pixels, it is also called an averaging filter. [/bg_collapse]

4. 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

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. [/bg_collapse]

5. 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

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.

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

A. True
B. False

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. [/bg_collapse]

7. 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

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. [/bg_collapse]

8. 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

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. [/bg_collapse]

9. Box filter is a type of smoothing filter.

A. True
B. False

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

10. 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