Omron F250-UME Software Manual page 108

Changing Filtering
2-3-2 Filtering
CHECK
2-3-(3)
The image read by the Camera can be manipulated to create an image that is
easier to measure by using the 9 filtering methods: Weak smoothing, strong
smoothing, dilation, erosion, median, edge enhancement, vertical edge extrac-
tion, horizontal edge extraction, and edge extraction. The settings can be
made separately for Image 0 and Image 1.
The cursor can be moved on the image to see the effects of filtering. Select fil-
tering while confirming the results on the image.
Filtering Target
OFF ---
Weak Measurement objects
smoothing with slight surface irregu-
larity
Strong
smoothing
Dilation White measurement
objects with black noise
Erosion Black measurement
objects with white noise
Median Measurement objects
with slight surface irregu-
larity
Edge Blurred measurement
enhance- objects (e.g., due to light-
ment ing changes)
Vertical Measurement objects dif-
edge ficult to extract due to bad
extraction image contrast
Horizontal Measurement objects dif-
edge ficult to extract due to bad
extraction image contrast
Edge Measurement objects dif-
extraction ficult to extract due to bad
image contrast
The strength of the filtering can be selected if Frame/Field is set to Frame.
3 × 3 5 × 5
Weak Strong
+ The image changes each time these keys are pressed.
SHIFT ENT
1. Select Filtering.
3.Change Filtering
The settings screen for filtering will be displayed.
Function
---
Reduces the irregularity
through smoothing.
Select either weak or
strong smoothing.
Increases white to elim-
inate black noise.
Reduces white to elimi-
nate the white noise.
Reduces surface irreg-
ularities while maintain-
ing the contour.
Enhances edges
between bright and
dark regions.
Extracts the vertical
edges (light and dark)
of an image.
Extracts the horizontal
edges (light and dark)
of an image.
Extracts the vertical
edges (light and dark)
of an image.
Filtering order(Image0)
Filtering(Image0)
BGS levels(Image0)
Filtering order(Image1)
Filtering(Image1)
BGS levels(Image1)
Section 2-3
Example
application
---
Stable searches
Removal of noise
from measure-
ment objects
Removal of noise
from measure-
ment objects
Edge positioning
(with no reduction
in accuracy)
Edge positioning
Defect inspection
(using binary pro-
cessing)
Defect inspection
(using binary pro-
cessing)
Defect inspection
(using binary pro-
cessing)