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Histogram Specification MCQ Questions & Answers

Histogram Specification MCQs : This section focuses on the "Histogram Specification". These Multiple Choice Questions (MCQs) should be practiced to improve the Histogram Specification skills required for various interviews (campus interview, walk-in interview, company interview), placement, entrance exam and other competitive examinations.




Question 1

For a local enhancement using mean and variance, there is one condition:

A. It is a negative constant with values less than -1.0
B. It is a positive constant with values less than 1.0
C. It is an integer constant with values between -1.0 and 1.0
D. None of the mentioned

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Question 2

For a local enhancement using mean and variance, there is one condition:

A. Enhancement is being done on light areas
B. Enhancement is being done on dark areas
C. Enhancement is being done independent of value of k0
D. None of the mentioned

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Question 3

For a local enhancement using mean and variance, what happens if the lowest value of contrast is not restricted as per the willingness of acceptance of value?

A. There wouldn’t be any enhancement
B. Enhancement will occur for areas with standard deviation value > 1
C. Enhancement of the constant areas will also be the part of procedure
D. Enhancement will occur for areas with standard deviation value > 0 and < 1

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Question 4

In Histogram Matching r and z are gray level of input and output image and p stands for PDF, then, what does pz(z) stands for?

A. Specific probability density function
B. Specified pixel distribution function
C. Specific pixel density function
D. Specified probability density function

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Question 5

In terms of enhancement, what does mean and variance refers to?

A. Average contrast and average gray level respectively
B. Average gray level and average contrast respectively
C. Average gray level in both
D. Average contrast in both

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Question 6

Inverse transformation plays an important role in which of the following Histogram processing Techniques?

A. Histogram Linearization
B. Histogram Equalization
C. Histogram Matching
D. None of the mentioned

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Question 7

The technique of Enhancement that has a specified Histogram processed image as result, is called?

A. Histogram Linearization
B. Histogram Equalization
C. Histogram Matching
D. None of the mentioned

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Question 8

What happens to the output image when global Histogram equalization method is applied on smooth and noisy area of an image?

A. The contrast increases little bit with considerable enhancement of noise
B. The result would have a fine noise texture
C. All of the mentioned
D. None of the mentioned

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Question 9

What is standard deviation value for constant area?

A. 0
B. 1
C. -1
D. None of the mentioned

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Question 10

Which of the following histogram processing techniques is global?

A. Histogram Linearization
B. Histogram Specification
C. Histogram Matching
D. All of the mentioned

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