Digital Image Processing Set 4

Master of Science in Computer Science (MSc CS)

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This set of Digital Image Processing (DIP) Multiple Choice Questions & Answers (MCQs) focuses on Digital Image Processing Set 4

Q1 | What is the difference between Convolution and Correlation?
  • image is pre-rotated by 180 degree for correlation
  • image is pre-rotated by 180 degree for convolution
  • image is pre-rotated by 90 degree for correlation
  • image is pre-rotated by 90 degree for convolution
Answer: image is pre-rotated by 180 degree for convolution
Explaination:
convolution is the same as correlation except that the image must be rotated by 180 degrees initially.
Q2 | Convolution and Correlation are functions of __________________.
  • distance
  • time
  • intensity
  • displacement
Answer: displacement
Explaination:
convolution and correlation are functions of displacement.
Q3 | The function that contains a single 1 with the rest being 0s is called ____________________.
  • identity function
  • inverse function
  • discrete unit impulse
  • none of the mentioned
Answer: discrete unit impulse
Explaination:
it is called discrete unit impulse.
Q4 | Which of the following involves Correlation?
  • matching
  • key-points
  • blobs
  • none of the mentioned.
Answer: matching
Explaination:
correlation is applied in finding matches.
Q5 | An example of a continuous function of two variables is _____________
  • identity function
  • intensity function
  • contrast stretching
  • gaussian function
Answer: gaussian function
Explaination:
gaussian function has two variables and is an exponential continuous function.
Q6 | The output of a smoothing, linear spatial filtering is a ____________ of the pixels contained in the neighbourhood of the filter mask.
  • sum
  • product
  • average
  • dot product
Answer: average
Explaination:
smoothing is simply the average of the pixels contained in the neighbourhood.
Q7 | Averaging filters is also known as ____________ filter.
  • low pass
  • high pass
  • band pass
  • none of the mentioned
Answer: low pass
Explaination:
averaging filters is also known as low pass filters.
Q8 | What is the undesirable side effects of Averaging filters?
  • no side effects
  • blurred image
  • blurred edges
  • loss of sharp transitions
Answer: blurred edges
Explaination:
blue edges is the undesirable side effect of averaging filters.
Q9 | A spatial averaging filter in which all coefficients are equal is called _______________.
  • square filter
  • neighbourhood
  • box filter
  • zero filter
Answer: box filter
Explaination:
it is called a box filter.
Q10 | Which term is used to indicate that pixels are multiplied by different coefficients?
  • weighted average
  • squared average
  • spatial average
  • none of the mentioned
Answer: weighted average
Explaination:
it is called weighted average since more importance(weight) is given to some pixels.
Q11 | The non linear spacial filters whose response is based on ordering of the pixels contained is called _____________.
  • box filter
  • square filter
  • gaussian filter
  • order-statistic filter
Answer: order-statistic filter
Explaination:
it is called order-statistic filter.
Q12 | Impulse noise in Order-statistic filter is also called as _______________.
  • median noise
  • bilinear noise
  • salt and pepper noise
  • none of the mentioned
Answer: salt and pepper noise
Explaination:
it is called salt-and-pepper noise because of its appearance as white and black dots superimposed on an image.
Q13 | Best example for a Order-statistic filter is ____________________.
  • impulse filter
  • averaging filter
  • median filter
  • none of the mentioned
Answer: median filter
Explaination:
median filter is the best known order-statistic filter.
Q14 | What does “eliminated” refer to in median filter?
  • force to average intensity of neighbours
  • force to median intensity of neighbours
  • eliminate median value of pixels
  • none of the mentioned.
Answer: force to median intensity of neighbours
Explaination:
it refers to forcing to median intensity of neighbours.
Q15 | Which of the following is best suited for salt-and-pepper noise elimination?
  • average filter
  • box filter
  • max filter
  • median filter
Answer: median filter
Explaination:
median filter is better suited than average filter for salt-and-pepper noise elimination.
Q16 | What is the set generated using infinite-value membership functions, called?
  • crisp set
  • boolean set
  • fuzzy set
  • all of the mentioned
Answer: fuzzy set
Explaination:
it is called fuzzy set.
Q17 | Which is the set, whose membership only can be true or false, in bi-values Boolean logic?
  • boolean set
  • crisp set
  • null set
  • none of the mentioned
Answer: crisp set
Explaination:
the so called crisp set is the one in which membership only can be true or false, in bi-values boolean logic.
Q18 | If Z is a set of elements with a generic element z, i.e. Z = {z}, then this set is called _____________
  • universe set
  • universe of discourse
  • derived set
  • none of the mentioned
Answer: universe of discourse
Explaination:
it is called the universe of discourse.
Q19 | A fuzzy set ‘A’ in Z is characterized by a ____________ that associates with element of Z, a real number in the interval [0, 1].
  • grade of membership
  • generic element
  • membership function
  • none of the mentioned
Answer: membership function
Explaination:
a fuzzy set is characterized by a membership function.
Q20 | A fuzzy set is ________ if and only if membership function is identically zero in Z.
  • empty
  • subset
  • complement
  • none of the mentioned
Answer: empty
Explaination:
it is called an empty set.
Q21 | Which of the following is a type of Membership function?
  • triangular
  • trapezoidal
  • sigma
  • all of the mentioned
Answer: all of the mentioned
Explaination:
all of them are types of membership functions.
Q22 | Which of the following is not a type of Membership function?
  • s-shape
  • bell shape
  • truncated gaussian
  • none of the mentioned
Answer: none of the mentioned
Explaination:
all of the mentioned above are types of membership functions.
Q23 | Using IF-THEN rule to create the output of fuzzy system is called __________.
  • inference
  • implication
  • both the mentioned
  • none of the mentioned
Answer: both the mentioned
Explaination:
it is called inference or implication.
Q24 | What is the independent variable of fuzzy output?
  • maturity
  • membership
  • generic element
  • none of the mentioned
Answer: maturity
Explaination:
maturity is the independent variable of fuzzy output.
Q25 | Which of the following is not a principle step in fuzzy technique?
  • fuzzify input
  • apply implication method
  • defuzzify final output
  • none of the mentioned
Answer: none of the mentioned
Explaination:
all of the mentioned above are key steps in fuzzy technique.
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