CH4 IP operators

Question 1

Point operations

Answer 1

• Contrast stretching
• Noise clipping
• Histogram modifications

Question 2

Spatial operations

Answer 2

• Noise smoothing
• Median filtering
• Unsharp masking
• Morphological filtering

Question 3

Spatial averaging:

1) Finite impulse response (FIR) _
2) Infinite impulse response (IIR) _ _

Answer 3

FIR: Moving average
IIR: - Symmetric exponential and Gaussian filter

Question 4

Simple point operations modify the image _

Answer 4

Contrast

They are often implemented via a LUT

Question 5

The histogram measure the graylevel intensity distribution of an image. Histogram equalization yields an image display that uses all grayscales _

Answer 5

Equitably

Question 6

Combining images on a pixel-by-pixel basis is useful for

Answer 6

Detecting features
Extracting parameters
Noise reduction (by averaging)

Question 7

Linear spatial operators are digital filters. They are useful _, _, _

Answer 7

• Spatial averaging (smoothing)
• Image sharpening
• Feature detection

Question 8

The median filter is _.

Answer 8

Non-linear

It is useful for impulse-noise removal and image simplification

Question 9

Morphological operators can operate on _ or_. They use set theoric operations and transformations with structuring elements

Answer 9

Binary object (bitmap) or graylevel

Question 10

The fundamental morphological operators are _. Their combination results in the _ and _ operation, which are _

Answer 10

Dilation and erosion
Closing and opening
Idempotent

Question 11

Typical graylevel morphological filters are the _ and _ filters. They are equivalent of opening and closing , respectively

Answer 11

min/max and max/min