EDGE DETECTION
Edge
Edges are significant local changes of intensity in an image. An edge in an image is a
bounding or counter at which a significant charge occurs.
o What causes intensity changes?
Geometric events:
- Surface orientation (boundary) discontinues.
- Depth discontinuities.
- Color and texture discontinues.
Non-Geometric Events:
- In lamination changes.
- Secularities
- Shades and Inter-reflections
Edge Detection Useful
Edge detection is important because the success of high level processing relies heavily
on good edges. Edge detection is the far most common approach for detecting
meaningful discontinues in gray level image. Important features can be extracted from
the edges of an image (for example: corners, lines, curves).
Edge Descriptors
o Edge Direction:
Perpendicular to the direction maximum intensity charge.
o Edge Strength:
Related to the local image contrast along normal.
o Edge Position:
The image position at which the edge is located.
1|Page E d g e D e t e c ti o n N o t e s
Edge
Edges are significant local changes of intensity in an image. An edge in an image is a
bounding or counter at which a significant charge occurs.
o What causes intensity changes?
Geometric events:
- Surface orientation (boundary) discontinues.
- Depth discontinuities.
- Color and texture discontinues.
Non-Geometric Events:
- In lamination changes.
- Secularities
- Shades and Inter-reflections
Edge Detection Useful
Edge detection is important because the success of high level processing relies heavily
on good edges. Edge detection is the far most common approach for detecting
meaningful discontinues in gray level image. Important features can be extracted from
the edges of an image (for example: corners, lines, curves).
Edge Descriptors
o Edge Direction:
Perpendicular to the direction maximum intensity charge.
o Edge Strength:
Related to the local image contrast along normal.
o Edge Position:
The image position at which the edge is located.
1|Page E d g e D e t e c ti o n N o t e s
