Digital Image Processing Set 5

Master of Science in Computer Science (MSc CS)

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This set of Digital Image Processing (DIP) Multiple Choice Questions & Answers (MCQs) focuses on Digital Image Processing Set 5

Q1 | The principle objective of Sharpening, to highlight transitions is ___________________.
  • pixel density
  • composure
  • intensity
  • brightness
Answer: intensity
Explaination:
the principle objective of sharpening, to highlight transitions is intensity.
Q2 | How can Sharpening be achieved?
  • pixel averaging
  • slicing
  • correlation
  • none of the mentioned
Answer: none of the mentioned
Explaination:
sharpening is achieved using spatial differentiation.
Q3 | What does Image Differentiation enhance?
  • edges
  • pixel density
  • contours
  • none of the mentioned
Answer: edges
Explaination:
image differentiation enhances edges and other discontinuities.
Q4 | What does Image Differentiation de-emphasize?
  • pixel density
  • contours
  • areas with slowly varying intensities
  • none of the mentioned
Answer: areas with slowly varying intensities
Explaination:
image differentiation de-emphasizes areas with slowly varying intensities.
Q5 | The requirements of the First Derivative of a digital function:
  • must be zero in areas of constant intensity
  • must be non-zero at the onset of an intensity step
  • must be non-zero along ramps
  • all of the mentioned
Answer: all of the mentioned
Explaination:
all the three conditions must be satisfied.
Q6 | What is the Second Derivative of Image Sharpening called?
  • gaussian
  • laplacian
  • canny
  • none of the mentioned
Answer: laplacian
Explaination:
it is also called laplacian.
Q7 | 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 ______________________.
  • isotropic filtering
  • laplacian
  • rotation invariant
  • none of the mentioned
Answer: rotation invariant
Explaination:
it is called rotation invariant, although the process used is isotropic filtering.
Q8 | For a function f(x,y), the gradient of ‘f’ at coordinates (x,y) is defined as a ____________________.
  • 3-d row vector
  • 3-d column vector
  • 2-d row vector
  • 2-d column vector
Answer: 2-d column vector
Explaination:
the gradient is a 2-d column vector.
Q9 | Where do you find frequent use of Gradient?
  • industrial inspection
  • mri imaging
  • pet scan
  • none of the mentioned
Answer: industrial inspection
Explaination:
gradient is used in industrial inspection, to aid humans, in detection of defects.
Q10 | Which of the following occurs in Unsharp Masking?
  • blurring original image
  • adding a mask to original image
  • subtracting blurred image from original
  • all of the mentioned
Answer: all of the mentioned
Explaination:
in unsharp masking, all of the above occurs in the order: blurring, subtracting the blurred image and then adding the mask.
Q11 | Which of the following make an image difficult to enhance?
  • narrow range of intensity levels
  • dynamic range of intensity levels
  • high noise
  • all of the mentioned
Answer: all of the mentioned
Explaination:
all the mentioned options make it difficult to enhance an image.
Q12 | Which of the following is a second-order derivative operator?
  • histogram
  • laplacian
  • gaussian
  • none of the mentioned
Answer: laplacian
Explaination:
laplacian is a second-order derivative operator.
Q13 | Response of the gradient to noise and fine detail is _____________ the Laplacian’s.
  • equal to
  • lower than
  • greater than
  • has no relation with
Answer: lower than
Explaination:
response of the gradient to noise and fine detail is lower than the laplacian’s and can further be lowered by smoothing.
Q14 | Dark characteristics in an image are better solved using ____________________.
  • laplacian transform
  • gaussian transform
  • histogram specification
  • power-law transformation
Answer: power-law transformation
Explaination:
it can be solved by histogram specification but it is better handled by power-law transformation.
Q15 | Which of the following fails to work on dark intensity distributions?
  • laplacian transform
  • gaussian transform
  • histogram equalization
  • power-law transformation
Answer: histogram equalization
Explaination:
histogram equalization fails to work on dark intensity distributions.
Q16 | _________________________ is used to detect diseases such as bone infection and tumors.
  • mri scan
  • pet scan
  • nuclear whole body scan
  • x-ray
Answer: nuclear whole body scan
Explaination:
nuclear whole body scan is used to detect diseases such as bone infection and tumors
Q17 | How do you bring out more of the skeletal detail from a Nuclear Whole Body Bone Scan?
  • sharpening
  • enhancing
  • transformation
  • none of the mentioned
Answer: sharpening
Explaination:
sharpening is used to bring out more of the skeletal detail.
Q18 | Final step of enhancement lies in ________________ of the sharpened image.
  • increase range of contrast
  • increase range of brightness
  • increase dynamic range
  • none of the mentioned
Answer: increase dynamic range
Explaination:
increasing the dynamic range of the sharpened image is the final step in enhancement.
Q19 | An alternate approach to median filtering is ______________
  • use a mask
  • gaussian filter
  • sharpening
  • laplacian filter
Answer: use a mask
Explaination:
using a mask, formed from the smoothed version of the gradient image, can be used for median filtering.
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