Figures%20from%20Gonzalez%20and%20Woods,%20Digital%20Image%20Processing,%20Second%20Edition,%202002. - PowerPoint PPT Presentation

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Figures%20from%20Gonzalez%20and%20Woods,%20Digital%20Image%20Processing,%20Second%20Edition,%202002.

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Lecture 15 Figures from Gonzalez and Woods, Digital Image Processing, Second Edition, 2002. Geometric Transformation (1) Geometric Transformation (2) Geometric ... – PowerPoint PPT presentation

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Title: Figures%20from%20Gonzalez%20and%20Woods,%20Digital%20Image%20Processing,%20Second%20Edition,%202002.


1
Lecture 15
  • Figures from Gonzalez and Woods, Digital Image
    Processing, Second Edition, 2002.

2
Geometric Transformation (1)
3
Geometric Transformation (2)
4
Chapter 5 Image Restoration
5
Geometric Transformation (3)
6
Geometric Transformation (4)
  • Tiepoints established by application dependent
    methods
  • Physical artifacts (like metallic points)
    embedded on the sensor itself. Produces a known
    set of points (called reseau marks) on the image
    as acquired.
  • An image distorted by some other process, e.g.,
    display or image reconstruction can be
    geometrically corrected.

7
Chapter 5 Image Restoration
8
Gray Level Interpolation
  • Above technique can result in noninteger values
    of x and y
  • Inferring gray levels can gray level
    interpolation
  • Two techniques
  • Nearest neighbor interpolation (zero order
    interpolation)
  • Bilinear interpolation from four nearest points

9
Chapter 5 Image Restoration
10
Chapter 5 Image Restoration
11
Color Image Processing
  • Two general types discussed
  • Full-color acquired with full color sensor such
    as a TV camera
  • Psuedo-color Problem of assigning a color to a
    particular monochrome intensity or range of
    intensities
  • Until recently almost all color processing was
    psuedo-color,but full color sensors and hardware
    are now available at reasonable prices

12
Description of Light Source
  • Chromatic light spans EM spectrum from 400 to 700
    nm.
  • Three qualities used to describe light source
  • Radiance-total amount of energy from source
    (measured in watts)
  • Luminance- energy an observer perceives from
    source (measured in lumens)
  • Brightness- Embodies notion of intensity. Hard to
    measure.

13
Chapter 6 Color Image Processing
14
Chapter 6 Color Image Processing
15
Chapter 6 Color Image Processing
16
Colors
  • Primary colorsred,green,blue
  • Secondary colorsmagentaredblue
    cyangreenblue yellowredgreen.
  • In pigment a primary color subtracts or absorbs
    primary color of light and reflects or transmits
    other two
  • Primary colors of pigment are megenta, cyan, and
    yellow.

17
Chapter 6 Color Image Processing
18
Chapter 6 Color Image Processing
19
Chapter 6 Color Image Processing
20
Color Models
  • Red, Green, Blue (RGB) color monitors and a
    broad class of video cameras
  • CMY (cyan, magenta, yellow) and CMYK (cyan,
    magenta, yellow, black) for color printing
  • HIS (hue, saturation, intensity) corresponds
    with how humans describe and interpret color

21
Chapter 6 Color Image Processing
22
Chapter 6 Color Image Processing
23
Chapter 6 Color Image Processing
24
Chapter 6 Color Image Processing
25
Chapter 6 Color Image Processing
26
Chapter 6 Color Image Processing
27
Chapter 6 Color Image Processing
28
Chapter 6 Color Image Processing
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