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This section includes 27 Mcqs, each offering curated multiple-choice questions to sharpen your Digital Image Processing knowledge and support exam preparation. Choose a topic below to get started.
1. |
First order derivative can enhance the fine detail in the image compared to that of second order derivative. |
A. | True |
B. | False |
Answer» C. | |
2. |
What is the thickness of the edges produced by first order derivatives when compared to that of second order derivatives? |
A. | Finer |
B. | Equal |
C. | Thicker |
D. | Independent |
Answer» D. Independent | |
3. |
Isolated point is also called as noise point. |
A. | True |
B. | False |
Answer» B. False | |
4. |
If f(x,y) is an image function of two variables, then the first order derivative of a one dimensional function, f(x) is: |
A. | f(x+1)-f(x) |
B. | f(x)-f(x+1) |
C. | f(x-1)-f(x+1) |
D. | f(x)+f(x-1) |
Answer» B. f(x)-f(x+1) | |
5. |
In which of the following cases, we wouldn’t worry about the behaviour of sharpening filter? |
A. | Flat segments |
B. | Step discontinuities |
C. | Ramp discontinuities |
D. | Slow varying gray values |
Answer» E. | |
6. |
ISOLATED_POINT_IS_ALSO_CALLED_AS_NOISE_POINT.?$ |
A. | True |
B. | False |
Answer» B. False | |
7. |
WHERE_DO_YOU_FIND_FREQUENT_USE_OF_GRADIENT??$ |
A. | Industrial inspection |
B. | MRI Imaging |
C. | PET Scan |
D. | None of the mentioned |
Answer» B. MRI Imaging | |
8. |
First order derivative can enhance the fine detail in the image compared to that of second order derivative.$ |
A. | True |
B. | False |
Answer» C. | |
9. |
What_is_the_thickness_of_the_edges_produced_by_first_order_derivatives_when_compared_to_that_of_second_order_derivatives?$ |
A. | Finer |
B. | Equal |
C. | Thicker |
D. | Independent |
Answer» D. Independent | |
10. |
Which_of_the_following_occurs_in_Unsharp_Masking?$ |
A. | Blurring original image |
B. | Adding a mask to original image |
C. | Subtracting blurred image from original |
D. | All of the mentioned |
Answer» E. | |
11. |
Which of the following derivatives produce a double response at step changes in gray level? |
A. | First order derivative |
B. | Third order derivative |
C. | Second order derivative |
D. | First and second order derivatives |
Answer» D. First and second order derivatives | |
12. |
If f(x,y) is an image function of two variables, then the first order derivative of a one dimensional function, f(x) is? |
A. | f(x+1)-f(x) |
B. | f(x)-f(x+1) |
C. | f(x-1)-f(x+1) |
D. | f(x)+f(x-1) |
Answer» B. f(x)-f(x+1) | |
13. |
For a function f(x,y), the gradient of ‘f’ at coordinates (x,y) is defined as a __________?# |
A. | 3-D row vector |
B. | 3-D column vector |
C. | 2-D row vector |
D. | 2-D column vector |
Answer» E. | |
14. |
Which of the following is not a valid response when we apply a second derivative? |
A. | Zero response at onset of gray level step |
B. | Nonzero response at onset of gray level step |
C. | Zero response at flat segments |
D. | Nonzero response along the ramps |
Answer» C. Zero response at flat segments | |
15. |
The ability that rotating the image and applying the filter gives the same result, as applying the filter to the image first, and then rotating it, is called _____________ |
A. | Isotropic filtering |
B. | Laplacian |
C. | Rotation Invariant |
D. | None of the mentioned |
Answer» D. None of the mentioned | |
16. |
Which of the following is the valid response when we apply a first derivative? |
A. | Non-zero at flat segments |
B. | Zero at the onset of gray level step |
C. | Zero in flat segments |
D. | Zero along ramps |
Answer» D. Zero along ramps | |
17. |
What is the Second Derivative of Image Sharpening called? |
A. | Gaussian |
B. | Laplacian |
C. | Canny |
D. | None of the mentioned |
Answer» C. Canny | |
18. |
In which of the following cases, we wouldn’t worry about the behaviour of sharpening filter?$ |
A. | Flat segments |
B. | Step discontinuities |
C. | Ramp discontinuities |
D. | Slow varying gray values |
Answer» E. | |
19. |
The requirements of the First Derivative of a digital function: |
A. | Must be zero in areas of constant intensity |
B. | Must be non-zero at the onset of an intensity step |
C. | Must be non-zero along ramps |
D. | All of the Mentioned |
Answer» E. | |
20. |
Image differentiation enhances the edges, discontinuities and deemphasizes the pixels with slow varying gray levels. |
A. | True |
B. | False |
Answer» B. False | |
21. |
What does Image Differentiation de-emphasize? |
A. | Pixel Density |
B. | Contours |
C. | Areas with slowly varying intensities |
D. | None of the mentioned |
Answer» D. None of the mentioned | |
22. |
In spatial domain, which of the following operation is done on the pixels in sharpening the image? |
A. | Integration |
B. | Average |
C. | Median |
D. | Differentiation |
Answer» E. | |
23. |
What does Image Differentiation enhance? |
A. | Edges |
B. | Pixel Density |
C. | Contours |
D. | None of the mentioned |
Answer» B. Pixel Density | |
24. |
Image sharpening process is used in electronic printing. |
A. | True |
B. | False |
Answer» B. False | |
25. |
How can Sharpening be achieved? |
A. | Pixel averaging |
B. | Slicing |
C. | Correlation |
D. | None of the mentioned |
Answer» E. | |
26. |
Which of the following is the primary objective of sharpening of an image? |
A. | Blurring the image |
B. | Highlight fine details in the image |
C. | Increase the brightness of the image |
D. | Decrease the brightness of the image |
Answer» C. Increase the brightness of the image | |
27. |
The principle objective of Sharpening, to highlight transitions is ________ |
A. | Pixel density |
B. | Composure |
C. | Intensity |
D. | Brightness |
Answer» D. Brightness | |