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[E]
Ë
Edge emphasis
- See "Pre-processing."
Ë
Edge extruction
- See "Pre-processing."
Ë
Expansion
- See "Expansion and contraction to elimiate binary noise in the image."
Ë
Edge detection
The "edge" refers to the boundaries between the brighter (white) and darker (black) parts in an image.
The "edge detection" function is used to detect this boundary by processing the image.
A
Edge
[An example of detecting a point using the edge detection function and user specified criteria]
- Horizontal transition point
from light to dark (moving
from left to right)
Edge detection point
A
Detection direction
- Horizontal transition point
from light to dark (moving
from right to left)
A
Detection direction
- Center (dark), horizontal (left and right)
Edge detection point
- Edge detection of the inside and outside edges of a two circles
A: Moving right horizontally
from light to dark
Brightness
B
- Vertical transition point from
light to dark (moving from top
to bottom)
Detection area
B
- Vertical transition point from
light to dark (moving from
bottom to top)
Detection area
B
Edge detection
point
Detection area
B: Moving right horizontally
from dark to light
Detection area
G-3
Edge
Flat
width
width
A
Scanning direction B
Edge detection
Light
point
A
Brightness
level
Dark
B
Light
A
Brightness
level
B
Dark
C: Moving left horizontally
from dark to light
D: Moving left horizontally
from light to dark
Internal diameter (between B and C)
External diameter (between A and D)
Glossary
Difference
in darkness
level
Edge
Flat
width
width
Difference
in level
A
Direction
B
Edge
Flat
width
width
Difference
in level
A
Direction
B
G
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