Digital Image Processing Questions and Answers
Q1.
In which of the following cases, we wouldn’t worry about the behaviour of sharpening filter?
Answer :
Slow varying gray values
Q2.
What is the thickness of the edges produced by first order derivatives when compared to that of second order derivatives?
Answer :
Thicker
Q3.
Which of the following fact(s) is/are true about sharpening spatial filters using digital differentiation?
Answer :
1. Sharpening spatial filter response is proportional to the discontinuity of the image at the point where the derivative operation is applied
2. Sharpening spatial filters enhances edges and discontinuities like noise
3. Sharpening spatial filters deemphasizes areas that have slowly varying gray-level values
Q4.
What kind of relation can be obtained between first order derivative and second order derivative of an image having a on the basis of edge productions that shows a transition like a ramp of constant slope?
Answer :
First order derivative produces thick edge while second order produces a very fine edge
Q5.
What does Image Differentiation enhance?
Answer :
Edges
Q6.
For a function f(x,y), the gradient of ‘f’ at coordinates (x,y) is defined as a _______
Answer :
2-D column vector
Q7.
Response of the gradient to noise and fine detail is ________ the Laplacian’s.
Answer :
lower than
Q8.
How do you bring out more of the skeletal detail from a Nuclear Whole Body Bone Scan?
Answer :
Sharpening
Q9.
What is the process of moving a filter mask over the image and computing the sum of products at each location called as?
Answer :
Correlation
Q10.
The function that contains a single 1 with the rest being 0s is called _________
Answer :
Discrete unit impulse
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