Omron fh-3 series User Manual

FilteringFH/FZ5 Processing Item Function Reference Manual
515
3
Compensate image
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 Filtering description Example
Weak smoothing
Strong smoothing
Small flecks on the measurement
object
M
akes flecks less visible.
Makes stable searching
possible an
d stable area
measurement possible.
Dilate Dark noise exists
This filtering removes dark noise by
enl
argin
g brighter areas.
Removing noise from
measuremen
t objects
Erosion Brighter noise exists
This filtering removes brighter noise
by shrinkin
g brighter areas.
Median
Small flecks on the measurement
obj
ect
Th
is filtering keep the profile and
weaken flecks.
Edge positioning
(Accuracy is not
re
duced
)
Extract edges
Due to a comparatively lower image
contrast, defe
cts are difficult to
extract
Extracts the boundary lines of the
image
(li
ght and shade).
Defect inspection
Extract horizontal
edge
s
Due
to a comparatively lower image
contrast, defe
cts are difficult to
extract
Extracts the boundary lines horizontal
to
the image (light and shade).
Extract vertical
edges
Due
to a comparatively lower image
contrast, defe
cts are difficult to
extract
Extracts the boundary lines vertical to
th
e image (lig
ht and shade).
Enhance edges
The measurement object is blurry
(due
to changes such as lighting
fluctuation).
Clearly delineates the boundary lines
between the light and dark in the
image.
Edge positioning

Omron fh-3 series Specifications

General

Brand	Omron
Model	fh-3 series
Category	Accessories
Language	English