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IMAGE 1

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Probability density function = histogram normalized by area. Cumulative Histograms ... Cumulative Density Functions. Normalized cumulative histograms. IMAGE 1 ... – PowerPoint PPT presentation

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Title: IMAGE 1


1
IMAGE 1
An image is a two dimensional Function f(x,y)
where x and y are spatial coordinates And f at
any x,y is related to the brightness at that
point A digital image is a 2D representation of
a continuous image by a 2D array of discrete
samples Each element of the 2D array is a pixel.
2
Definition
  • Histograms count the number of occurrences of
    each possible value

Count
Grey level
3
Properties
  • Sum of all values in the histogram equals the
    total number of pixels

4
Properties
  • Sum of all values between a and b equals the area
    of all objects in that range

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Properties
  • Integrated optical density
  • Mean greylevel

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Application Adjusting Camera Parameters
  • Too bright - lots of pixels at 255 (or max)
  • Too dark - lots of pixels at 0
  • Gain too low - not enough of the range used

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Application Segmentation
  • Can be used to separate bright objects from dark
    background (or vice versa)

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Normalizing Histograms
  • Probability density function histogram
    normalized by area

9
Cumulative Histograms
  • Counts pixels with values up to and including the
    specified value

10
Cumulative Density Functions
  • Normalized cumulative histograms

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IMAGE 1
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Image 1 Bright
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Image 1 Dark
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Image 1 Low contrast
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Image 1 High contrast
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RESOLUTION
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INTERPOLATION
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HISTOGRAM EQUALIZATION
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THRESHOLDING
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Inverted
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SMOOTH 3
SMOOTH 7
MEDIAN 5
MEDIAN 3
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