Combining Spatial Enhancements Methods MCQ

1. Which of the following make an image difficult to enhance?
a) Narrow range of intensity levels
b) Dynamic range of intensity levels
c) High noise
d) All of the mentioned


2. Which of the following is a second-order derivative operator?
a) Histogram
b) Laplacian
c) Gaussian
d) None of the mentioned


3. Response of the gradient to noise and fine detail is _____________ the Laplacian’s.
a) equal to
b) lower than
c) greater than
d) has no relation with


4. Dark characteristics in an image are better solved using ____________________.
a) Laplacian Transform
b) Gaussian Transform
c) Histogram Specification
d) Power-law Transformation


5. What is the smallest possible value of a gradient image?
a) e
b) 1
c) 0
d) -e


6. Which of the following fails to work on dark intensity distributions?
a) Laplacian Transform
b) Gaussian Transform
c) Histogram Equalization
d) Power-law Transformation


7. _________________________ is used to detect diseases such as bone infection and tumors.
a) MRI Scan
b) PET Scan
c) Nuclear Whole Body Scan
d) X-Ray


8. How do you bring out more of the skeletal detail from a Nuclear Whole Body Bone Scan?
a) Sharpening
b) Enhancing
c) Transformation
d) None of the mentioned


9. An alternate approach to median filtering is ______________
a) Use a mask
b) Gaussian filter
c) Sharpening
d) Laplacian filter


10. Final step of enhancement lies in ________________ of the sharpened image.
a) Increase range of contrast
b) Increase range of brightness
c) Increase dynamic range
d) None of the mentioned