Deck 5: Image Enhancement Techniques and Their Applications

Question 1

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

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

Answer 1

intensity

Question 2

How can Sharpening be achieved?

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

Answer 2

none of the mentioned

Question 3

What does Image Differentiation enhance?

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

Answer 3

edges

Question 4

What does Image Differentiation de-emphasize?

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

Question 5

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

Question 6

What is the Second Derivative of Image Sharpening called?

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

Question 7

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

Question 8

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

Question 9

Where do you find frequent use of Gradient?

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

Question 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

Question 11

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

Question 12

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

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

Question 13

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

Question 14

Dark characteristics in an image are better solved using ____________________.

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

Question 15

What is the smallest possible value of a gradient image?

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

Question 16

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

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

Question 17

_________________________ 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

Question 18

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

Question 19

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

Question 20

An alternate approach to median filtering is ______________

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