LL5 Flashcards

(46 cards)

1
Q

What is Fourier Analysis primarily concerned with?

A

Decomposition into basis functions

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2
Q

What is a key application of filtering in the frequency domain?

A

Selection of frequencies

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3
Q

What does a histogram represent in image analysis?

A

Distribution of Intensities

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4
Q

What is the purpose of histogram transformations?

A

To adjust the intensity distribution in an image

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5
Q

What does the Gamma Function relate to in image processing?

A

It relates to the brightness and contrast of images

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6
Q

What are the types of filters mentioned?

A
  • Uniform
  • Rank
  • Variance
  • Convolution
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7
Q

What does the dynamic range of a device refer to?

A

Lowest to Highest value that can be achieved

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8
Q

What is the optimal use of dynamic range important for?

A
  • Analysis
  • Display
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9
Q

How is contrast defined according to Weber?

A

Luminance foreground vs background

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10
Q

How is contrast defined according to Michelson?

A

Luminance Min/Max

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11
Q

What does the image histogram function p(rk) represent?

A

Probability of intensity rk to occur

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12
Q

What is the formula for histogram equalization?

A

sk = T(rk) where T is the transformation function

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13
Q

What is the purpose of contrast stretching?

A

To enhance the visual appearance of images

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14
Q

What does cumulative distribution function (CDF) represent?

A

A function of the distribution of a real-valued variable X

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15
Q

What is gamma correction used for?

A

To adjust images for non-linear display characteristics

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16
Q

What is the purpose of a lookup table (LUT) in image processing?

A

To map input intensity values to output intensity values

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17
Q

What are the types of image file formats mentioned?

A
  • Lossless, uncompressed
  • Lossless, compressed
  • Lossy, compressed
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18
Q

What is the result of applying histogram equalization?

A

Redistribution of intensity values over the intensity domain

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19
Q

What does the term ‘dynamic range mapping’ refer to?

A

Mapping intensity values to a specified range

20
Q

What is the significance of the standard deviation in contrast?

A

It indicates how well the dynamic range is used

21
Q

What is the main goal of image analysis in microscopy?

A

To extract meaningful information from microscopic images

22
Q

What does the term ‘image inversion’ refer to in LUT settings?

A

Iout = 255 - Iin

23
Q

What is a key characteristic of the gamma function in image processing?

A

It compensates for non-linear transformations of voltage to intensity

24
Q

What is the role of spatial frequency distribution in image formats?

A

It helps determine compression types in lossy formats

25
What is the purpose of image processing?
Transforms input images into output images
26
Name three types of operations involved in image processing.
* Point operations * Algebraic operations * Logic operations
27
What is a pointwise transformation in image processing?
Transformation that operates on each pixel independently
28
Fill in the blank: The principle of weighing in image processing has multiple forms, including _______.
[Convolution]
29
What is the output pixel intensity formula in image processing?
Out(i,j) = F(In1(k,l), In2(k,l), ... Inn(k,l))
30
What are neighborhood operations in image processing?
Operations that consider a pixel's surrounding pixels
31
What is a median filter?
A rank filter that uses the median value of neighborhood pixels
32
True or False: The convolution filter is a type of neighborhood operation.
True
33
What does the Kuwahara filter do?
Edge-preserving smoothing of images
34
Fill in the blank: The kernel size in a median filter determines the _______.
[Effect]
35
What is the purpose of noise reduction in image processing?
To reduce unwanted variations in image data
36
What is the Gaussian kernel used for in convolution?
To determine the extent of the convolution function
37
List two examples of logical operations performed on images.
* Image A OR Image D * Image A XOR Image D
38
What is the output value in convolution?
A weighted sum of intensity values around the corresponding input pixel location
39
What is a rank filter used for?
To perform operations based on the rank of pixel values
40
What is the role of a filter kernel in image processing?
Defines the area and weights used for filtering
41
True or False: Convolution filters can be used for edge detection.
True
42
What is a complex filter in image processing?
Filters that combine multiple operations for enhanced results
43
Fill in the blank: The central value in a filter is often referred to as _______.
[CentralImel]
44
What does the term 'algebraic operations' refer to in image processing?
Operations involving mathematical functions applied to pixel values
45
What does a neighborhood filter class include?
* Intensity filters * Rank filters * Geometrical transformations
46
What is the significance of the filter size?
It determines the extent of the filtering effect on the image