1. 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
2. In Histogram Matching r and z are the gray level of input and output image and p stands for PDF, then, what does pz(z) stand for?
A. Specific probability density function
B. Specified pixel distribution function
C. Specific pixel density function
D. Specified probability density function
3. 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
4. In Histogram Matching or Specification, z = G-1[T(r)], r and z are the gray level of input and output image and T & G are transformations, to confirm the single value and monotonous of G-1 what of the following is/are required?
A. G must be strictly monotonic
B. G must be strictly decreasing
C. All of the mentioned
D. None of the mentioned
5. Which of the following histogram processing techniques is global?
A. Histogram Linearization
B. Histogram Specification
C. Histogram Matching
D. All of the mentioned
6. What happens to the output image when the global Histogram equalization method is applied to the smooth and noisy area of an image?
A. The contrast increases a little bit with the considerable enhancement of noise
B. The result would have a fine noise texture
C. All of the mentioned
D. None of the mentioned
7. Let us suppose an image containing a quite small square under a large dark square with both having very close gray level values. If an image contains some of this such that the small squares can’t be visualized and some noise blurred enough to reduce its noise content as shown in fig. below, Which of the following method would be preferred for obtaining the small square clear enough?
A. Global histogram equalization
B. Local histogram equalization
C. All of the mentioned
D. None of the mentioned
8. In terms of enhancement, what do mean and variance refer 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
9. For a local enhancement using mean and variance, there is one condition: ms(x, y) ≤ k0 MG, where, MG is global mean, k0 a constant, and ms(x, y) a measure of gray value as light or dark at point (x, y). Then, which fact is true for k0?
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
10. For a local enhancement using mean and variance, there is one condition: σs(x, y) ≤ k2DG, where, MDG is global standard deviation, k2 a positive constant, and σs(x, y) a measure of contrast at point (x, y). Then, which fact is true for k2 if its value is less than 1.0?
A. Enhancement is being done in light areas
B. Enhancement is being done in dark areas
C. Enhancement is being done independently of the value of k0
D. None of the mentioned