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
102. Averaging filters is also known as ____________ filter.
A. Low pass
B. High pass
C. Bandpass
D. None of the Mentioned
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
104. A spatial averaging filter in which all coefficients are equal is called ________.
A. Square filter
B. Neighbourhood
C. Box filter
D. Zero 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
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
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
108. Best example of an Order-statistic filter is _________
A. Impulse filter
B. Averaging filter
C. Median filter
D. None of the Mentioned
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
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
111. Smoothing filter is used for which of the following work(s)?
A. Blurring
B. Noise reduction
C. All of the mentioned
D. None of the mentioned
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
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
115. At 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
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
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
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
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
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