Question 1

Final step of enhancement lies in ________________ of the sharpened image.

Accepted Answer

A)  increase range of contrast
B)  increase range of brightness
C)  increase dynamic range
D)  none of the mentioned C

Question 2

Which of the following fails to work on dark intensity distributions?

Accepted Answer

A)  laplacian transform
B)  gaussian transform
C)  histogram equalization
D)  power-law transformation C

Question 3

The principle objective of Sharpening, to highlight transitions is ___________________.

Accepted Answer

A)  pixel density
B)  composure
C)  intensity
D)  brightness C

Question 4

Which of the following make an image difficult to enhance?

Accepted Answer

A)  narrow range of intensity levels
B)  dynamic range of intensity levels
C)  high noise
D)  all of the mentioned

Question 5

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 ______________________.

Accepted Answer

A)  isotropic filtering
B)  laplacian
C)  rotation invariant
D)  none of the mentioned

Question 6

How can Sharpening be achieved?

Accepted Answer

A)  pixel averaging
B)  slicing
C)  correlation
D)  none of the mentioned

Question 7

What does Image Differentiation de-emphasize?

Accepted Answer

A)  pixel density
B)  contours
C)  areas with slowly varying intensities
D)  none of the mentioned

Question 8

An alternate approach to median filtering is ______________

Accepted Answer

A)  use a mask
B)  gaussian filter
C)  sharpening
D)  laplacian filter

Question 9

The requirements of the First Derivative of a digital function:

Accepted Answer

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

Question 10

How do you bring out more of the skeletal detail from a Nuclear Whole Body Bone Scan?

Accepted Answer

A)  sharpening
B)  enhancing
C)  transformation
D)  none of the mentioned

Question 11

Which of the following occurs in Unsharp Masking?

Accepted Answer

A)  blurring original image
B)  adding a mask to original image
C)  subtracting blurred image from original
D)  all of the mentioned

Question 12

Which of the following is a second-order derivative operator?

Accepted Answer

A)  histogram
B)  laplacian
C)  gaussian
D)  none of the mentioned

Question 13

For a function f(x,y), the gradient of 'f' at coordinates (x,y) is defined as a ____________________.

Accepted Answer

A)  3-d row vector
B)  3-d column vector
C)  2-d row vector
D)  2-d column vector

Question 14

Dark characteristics in an image are better solved using ____________________.

Accepted Answer

A)  laplacian transform
B)  gaussian transform
C)  histogram specification
D)  power-law transformation

Question 15

Response of the gradient to noise and fine detail is _____________ the Laplacian's.

Accepted Answer

A)  equal to
B)  lower than
C)  greater than
D)  has no relation with

Question 16

What does Image Differentiation enhance?

Accepted Answer

A)  edges
B)  pixel density
C)  contours
D)  none of the mentioned

Question 17

Where do you find frequent use of Gradient?

Accepted Answer

A)  industrial inspection
B)  mri imaging
C)  pet scan
D)  none of the mentioned

Question 18

What is the smallest possible value of a gradient image?

Accepted Answer

A)  e
B)  1
C)  0
D)  -e

Question 19

What is the Second Derivative of Image Sharpening called?

Accepted Answer

A)  gaussian
B)  laplacian
C)  canny
D)  none of the mentioned

Question 20

_________________________ is used to detect diseases such as bone infection and tumors.

Accepted Answer

A)  mri scan
B)  pet scan
C)  nuclear whole body scan
D)  x-ray

Exam 5: Image Enhancement Techniques and Their Applications