Digital Image Processing Questions and Answers
Q1.
If f(x,y) is an image function of two variables, then the first order derivative of a one dimensional function, f(x) is:
Answer :
f(x+1)-f(x)
Q2.
The objective of sharpening spatial filters is/are to _______
Answer :
1. Highlight fine detail in an image
2. Enhance detail that has been blurred because of some error
3. Enhance detail that has been blurred because of some natural effect of some method of image acquisition
Q3.
The derivative of digital function is defined in terms of difference. Then, which of the following defines the first order derivative ∂f/∂x= ______ of a one-dimensional function f(x)?
Answer :
f(x+1)-f(x)
Q4.
If in an image there exist similar change in gray-level values in the image, which of the following shows a stronger response using second order derivative operator for sharpening?
Answer :
A point
Q5.
What is the Second Derivative of Image Sharpening called?
Answer :
Laplacian
Q6.
Which of the following make an image difficult to enhance?
Answer :
1. Narrow range of intensity levels
2. Dynamic range of intensity levels
3. High noise
Q7.
Which of the following fails to work on dark intensity distributions?
Answer :
Histogram Equalization
Q8.
What is accepting or rejecting certain frequency components called as?
Answer :
Filtering
Q9.
What is the difference between Convolution and Correlation?
Answer :
Image is pre-rotated by 180 degree for Convolution
Q10.
Which of the following conditions does the T(r) must satisfy?
Answer :
T(r) is single-valued and monotonically increasing in the interval 0≤r≤1; and
0≤T(r)≤1 for 0≤r≤1
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