Omron FH-3 Series Reference Manual page 517

Filtering Options and Examples
Treat the images loaded from the camera in order to make them easier to measure.
Types of filtering The problems to be treated
Weak smoothing Small flecks on the measurement
Strong smoothing object
Dilate Dark noise exists
Erosion Brighter noise exists
Small flecks on the measurement
Median
object
Due to a comparatively lower image
Extract edges contrast, defects are difficult to
extract
Due to a comparatively lower image
Extract horizontal
contrast, defects are difficult to
edges
extract
Due to a comparatively lower image
Extract vertical
contrast, defects are difficult to
edges
extract
The measurement object is blurry
Enhance edges (due to changes such as lighting
fluctuation).
FH/FZ5 Processing Item Function Reference Manual
Filtering description
Makes flecks less visible.
This filtering removes dark noise by
enlarging brighter areas.
This filtering removes brighter noise
by shrinking brighter areas.
This filtering keep the profile and
weaken flecks.
Extracts the boundary lines of the
image (light and shade).
Extracts the boundary lines horizontal
to the image (light and shade).
Extracts the boundary lines vertical to
the image (light and shade).
Clearly delineates the boundary lines
between the light and dark in the
image.
Example
Makes stable searching
possible and stable area
measurement possible.
Removing noise from
measurement objects
Edge positioning
(Accuracy is not
reduced)
Defect inspection
Edge positioning
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Filtering
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