Intensity Transformation MCQ [Free PDF] - Objective Question Answer for Intensity Transformation Quiz

101. The output of a smoothing, linear spatial filtering is a ____________ of the pixels contained in the neighborhood of the filter mask.

A. Sum
B. Product
C. Average
D. Dot Product

Answer: C

The output of a smoothing, linear spatial filtering is a Average of the pixels contained in the neighborhood of the filter mask.

Smoothing is simply the average of the pixels contained in the neighborhood.

102. Averaging filters is also known as ____________ filter.

A. Low pass
B. High pass
C. Bandpass
D. None of the Mentioned

Answer: A

Averaging filters are also known as Low pass filters.

103. What are the undesirable side effects of Averaging filters?

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

Answer: C

Blue edges are the undesirable side effect of Averaging filters.

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

A. Square filter
B. Neighbourhood
C. Box filter
D. Zero filter

Answer: C

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

105. 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: A

Weighted average is used to indicate that pixels are multiplied by different coefficients.

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

106. The non-linear spacial filters whose response is based on the ordering of the pixels contained is called ________.

A. Box filter
B. Square filter
C. Gaussian filter
D. Order-statistic filter

Answer: D

The non-linear spatial filter whose response is based on the ordering of the pixels contained is called an Order-statistic filter.

107. 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: C

Impulse noise in Order-statistic filter is also called as Salt and pepper noise.

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

108. Best example of an Order-statistic filter is _________

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

Answer: C

Best example of an Order-statistic filter is Median filter. The median filter is a non-linear digital filtering technique, often used to remove noise from an image or signal.

The median filter is the best-known Order-statistic filter.

109. What does “eliminated” refer to in the median filter?

A. Force to the average intensity of neighbors
B. Force to median intensity of neighbors
C. Eliminate median value of pixels
D. None of the Mentioned

Answer: B

Eliminated refers to forcing to median intensity of neighbors.

110. 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: D

The median filter is better suited than the average filter for salt-and-pepper noise elimination.

111. A smoothing filter is used for which of the following work(s)?

A. Blurring
B. Noise reduction
C. Both 1 and 2
D. None of the mentioned

Answer: C

A smoothing filter is used for blurring and noise reduction.

112. 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.

113. 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.

114. 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.

115. In 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.

116. 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.

117. 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.

118. 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.

119. 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.

120. 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.

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