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Digital Image Fundamentals

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Digital Image Fundamentals Faculty of Science Silpakorn University Overviews Elements of Visual Perception Term of image Sampling and Quantization Term of image Pixel ... – PowerPoint PPT presentation

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Title: Digital Image Fundamentals


1
Digital Image Fundamentals
  • Faculty of Science
  • Silpakorn University

2
Overviews
  • Elements of Visual Perception
  • Term of image
  • Sampling and Quantization

3
Term of image
  • Pixel
  • Resolution
  • Neighbor of pixels
  • Space and Frequency
  • Vector

4
PIXEL
  • Pixel is a smallest component of digital image
  • Pixel is a color point of digital image
  • An image should be comprised of many Pixels.

5
PIXEL
6
RESOLUTION
  • How quality of image
  • With the same size of picture
  • If high resolution, high memory is required to
    store data
  • If low resolution, less memory is required to
    store data
  • Its unit is call point per inch

7
RESOLUTION
72
36
18
9
8
Digital Image Representation
y
f(x,y)
x
9
Neighbors of a pixel
  • Neighbors of pixel are the pixels that are
    adjacent pixels of an identified pixel.
  • Each pixel is a unit distance from the particular
    pixel.
  • Some of the neighbors of pixel lie outside the
    digital image if its position is on the border of
    the image.

10
Pixel at coordinate (column x, row y) can be
represented by f(x,y)
0 1 2 3 4 5 6 7 8 9 10 11 12
13 14 15
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Pixel at the 7th column and 4th row is yellow
color
Zoom 1600
11
4-neighbors of pixel
  • 4-neighbors of pixel is denoted by N4(p)
  • It is set of horizontal and vertical neighbors

f(x,y) is a yellow circle f(x,y-1) is top
one f(x-1,y) is left one f(x1,y) is right
one f(x,y1) is bottom one
(x1)
(x)
(x-1)
(y-1)
(y)
(y1)
12
Diagonal neighbors of pixel
  • Diagonal neighbors of pixel is denoted by ND(p)
  • It is set of diagonal neighbors

f(x,y) is a yellow circle f(x-1,y-1) is top-left
one f(x1,y-1) is top-right one f(x-1,y1) is
bottom-left one f(x1,y1) is bottom-right one
(x1)
(x)
(x-1)
(y-1)
(y)
(y1)
13
8-neighbors of pixel
  • 8-neighbors of pixel is denoted by N8(p)
  • 4-neighbors and Diagonal neighbors of pixel

f(x,y) is a yellow circle (x-1,y-1),
(x,y-1),(x1,y-1), (x-1,y), (x,y),
(x1,y), (x-1,y1),(x,y1), (x1,y1)
(x1)
(x)
(x-1)
(y-1)
(y)
(y1)
14
Connectivity
  • Establishing boundaries of objects and components
    of regions in an image.
  • Group the same region by assumption that the
    pixels being the same color or equal intensity
    will are the same region

15
Connectivity
  • Let C is the set of colors used to define
  • There are three type of connectivity
  • 4-Connectivity 2 pixels (p and q) with value in
    C are 4-connectivity if q is in the set N4(p)
  • 8-Connectivity 2 pixels (p and q) with value in
    C are 8-connectivity if q is in the set N8(p)
  • M-Connectivity 2 pixels (p and q) with value in
    C are 8-connectivity if
  • Q is in N4(p), or
  • Q is in ND(p) and the set N4(p) n N4(q) is empty

16
Binary Image Represent
17
Example 4-Connectivity
  • Set of color consists of color 1 C 1

18
Example 8-Connectivity
  • Set of color consists of color 1 C 1

19
Example M-Connectivity
  • Set of color consists of color 1 C 1

20
Distance Measure
  • For pixels p, q, and z, with coordinates (x,y),
    (s,t) and (u,v) respectively, D is a distance
    function or metric if
  • D(p,q) 0 and
  • D(p,q) 0 iff p q and
  • D(p,q) D(q,p) and
  • D(p,z) D(p,q) D(q,z)

21
The D4 Distance
  • Also called city-block distance
  • Calculate between p and q is defined as
  • D4(p,q) px- qx py- qy

22
The D8 Distance
  • Also called city-block distance
  • Calculate between p and q is defined as
  • D8(p,q) max( px- qx , py- qy )

23
Labeling of connected Components
  • Scan an image pixel by pixel from left to right
    and top to bottom
  • There are 2 types of connectivity interested
  • 4-connectivity
  • 8-connectivity
  • Equivalent labeling

24
Step 4-connected components
  • P is pixel scanned process
  • If pixel p is color value 0 move on the next
    scaning
  • If pixel p is color value 1 examine pixel top and
    left
  • If top and left were 0, assign a new label to p
  • If only one of themre 1, assign its label to p
  • If both of themre 1 and have
  • the same number, assign their label to p
  • Different number, assign label of top to p and
    make note that two label is equivalent
  • Sort all pairs of equivalent labels and assign
    each equivalent to be same type

25
Example 4-connected components
1
Equivalent Table
1 2
3 4


2
3
4
26
Step 8-connected components
  • Steps are same as 4-connected components
  • But the pixel that are consider is 4 previous
    pixels ( top-left, top, top-right, and left )

27
Example 8-connected components
1
28
Multi-Color Labeling
  • Well define the group of color clearly and
    independency.
  • Then label each group independency.

29
Example Multi-Color labeling
Group of color 1st Group consists of 1 2nd Group
consists of 2 3rd Group consists of 3
??? 0 ??? 1 ??? 2 ??? 3
30
Color Labeling 1st Group
31
Color Labeling 2st Group
2
4
32
Color Labeling 3st Group
33
Exercise
  • If we want to label red and yellow is the same
    group.
  • How many label we can get?
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