Deck 4: Image Processing Techniques and Fuzzy Logic

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Question
What is the difference between Convolution and Correlation?

A)image is pre-rotated by 180 degree for correlation
B)image is pre-rotated by 180 degree for convolution
C)image is pre-rotated by 90 degree for correlation
D)image is pre-rotated by 90 degree for convolution
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Question
Convolution and Correlation are functions of __________________.

A)distance
B)time
C)intensity
D)displacement
Question
The function that contains a single 1 with the rest being 0s is called ____________________.

A)identity function
B)inverse function
C)discrete unit impulse
D)none of the mentioned
Question
Which of the following involves Correlation?

A)matching
B)key-points
C)blobs
D)none of the mentioned.
Question
An example of a continuous function of two variables is _____________

A)identity function
B)intensity function
C)contrast stretching
D)gaussian function
Question
The output of a smoothing, linear spatial filtering is a ____________ of the pixels contained in the neighbourhood of the filter mask.

A)sum
B)product
C)average
D)dot product
Question
Averaging filters is also known as ____________ filter.

A)low pass
B)high pass
C)band pass
D)none of the mentioned
Question
What is the undesirable side effects of Averaging filters?

A)no side effects
B)blurred image
C)blurred edges
D)loss of sharp transitions
Question
A spatial averaging filter in which all coefficients are equal is called _______________.

A)square filter
B)neighbourhood
C)box filter
D)zero filter
Question
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
Question
The non linear spacial filters whose response is based on ordering of the pixels contained is called _____________.

A)box filter
B)square filter
C)gaussian filter
D)order-statistic filter
Question
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
Question
Best example for a Order-statistic filter is ____________________.

A)impulse filter
B)averaging filter
C)median filter
D)none of the mentioned
Question
What does "eliminated" refer to in median filter?

A)force to average intensity of neighbours
B)force to median intensity of neighbours
C)eliminate median value of pixels
D)none of the mentioned.
Question
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
Question
What is the set generated using infinite-value membership functions, called?

A)crisp set
B)boolean set
C)fuzzy set
D)all of the mentioned
Question
Which is the set, whose membership only can be true or false, in bi-values Boolean logic?

A)boolean set
B)crisp set
C)null set
D)none of the mentioned
Question
If Z is a set of elements with a generic element z, i.e. Z = {z}, then this set is called _____________

A)universe set
B)universe of discourse
C)derived set
D)none of the mentioned
Question
A fuzzy set 'A' in Z is characterized by a ____________ that associates with element of Z, a real number in the interval [0, 1].

A)grade of membership
B)generic element
C)membership function
D)none of the mentioned
Question
A fuzzy set is ________ if and only if membership function is identically zero in Z.

A)empty
B)subset
C)complement
D)none of the mentioned
Question
Which of the following is a type of Membership function?

A)triangular
B)trapezoidal
C)sigma
D)all of the mentioned
Question
Which of the following is not a type of Membership function?

A)s-shape
B)bell shape
C)truncated gaussian
D)none of the mentioned
Question
Using IF-THEN rule to create the output of fuzzy system is called __________.

A)inference
B)implication
C)both the mentioned
D)none of the mentioned
Question
What is the independent variable of fuzzy output?

A)maturity
B)membership
C)generic element
D)none of the mentioned
Question
Which of the following is not a principle step in fuzzy technique?

A)fuzzify input
B)apply implication method
C)defuzzify final output
D)none of the mentioned
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Deck 4: Image Processing Techniques and Fuzzy Logic
1
What is the difference between Convolution and Correlation?

A)image is pre-rotated by 180 degree for correlation
B)image is pre-rotated by 180 degree for convolution
C)image is pre-rotated by 90 degree for correlation
D)image is pre-rotated by 90 degree for convolution
image is pre-rotated by 180 degree for convolution
2
Convolution and Correlation are functions of __________________.

A)distance
B)time
C)intensity
D)displacement
displacement
3
The function that contains a single 1 with the rest being 0s is called ____________________.

A)identity function
B)inverse function
C)discrete unit impulse
D)none of the mentioned
discrete unit impulse
4
Which of the following involves Correlation?

A)matching
B)key-points
C)blobs
D)none of the mentioned.
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5
An example of a continuous function of two variables is _____________

A)identity function
B)intensity function
C)contrast stretching
D)gaussian function
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k this deck
6
The output of a smoothing, linear spatial filtering is a ____________ of the pixels contained in the neighbourhood of the filter mask.

A)sum
B)product
C)average
D)dot product
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7
Averaging filters is also known as ____________ filter.

A)low pass
B)high pass
C)band pass
D)none of the mentioned
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8
What is the undesirable side effects of Averaging filters?

A)no side effects
B)blurred image
C)blurred edges
D)loss of sharp transitions
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k this deck
9
A spatial averaging filter in which all coefficients are equal is called _______________.

A)square filter
B)neighbourhood
C)box filter
D)zero filter
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10
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
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k this deck
11
The non linear spacial filters whose response is based on ordering of the pixels contained is called _____________.

A)box filter
B)square filter
C)gaussian filter
D)order-statistic filter
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12
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
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13
Best example for a Order-statistic filter is ____________________.

A)impulse filter
B)averaging filter
C)median filter
D)none of the mentioned
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14
What does "eliminated" refer to in median filter?

A)force to average intensity of neighbours
B)force to median intensity of neighbours
C)eliminate median value of pixels
D)none of the mentioned.
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15
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
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16
What is the set generated using infinite-value membership functions, called?

A)crisp set
B)boolean set
C)fuzzy set
D)all of the mentioned
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17
Which is the set, whose membership only can be true or false, in bi-values Boolean logic?

A)boolean set
B)crisp set
C)null set
D)none of the mentioned
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18
If Z is a set of elements with a generic element z, i.e. Z = {z}, then this set is called _____________

A)universe set
B)universe of discourse
C)derived set
D)none of the mentioned
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Unlock Deck
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19
A fuzzy set 'A' in Z is characterized by a ____________ that associates with element of Z, a real number in the interval [0, 1].

A)grade of membership
B)generic element
C)membership function
D)none of the mentioned
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20
A fuzzy set is ________ if and only if membership function is identically zero in Z.

A)empty
B)subset
C)complement
D)none of the mentioned
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21
Which of the following is a type of Membership function?

A)triangular
B)trapezoidal
C)sigma
D)all of the mentioned
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k this deck
22
Which of the following is not a type of Membership function?

A)s-shape
B)bell shape
C)truncated gaussian
D)none of the mentioned
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k this deck
23
Using IF-THEN rule to create the output of fuzzy system is called __________.

A)inference
B)implication
C)both the mentioned
D)none of the mentioned
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k this deck
24
What is the independent variable of fuzzy output?

A)maturity
B)membership
C)generic element
D)none of the mentioned
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25
Which of the following is not a principle step in fuzzy technique?

A)fuzzify input
B)apply implication method
C)defuzzify final output
D)none of the mentioned
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