Vision Sensor SBSI/SBSC-EN, 8062650 - 1607b - 13/09/2016
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Vision Sensor Manual
Teach
Execution of white balance, for white balance there has to be a
homogeneous, white area below the camera.
Reset
Reset values
4.6.1.5 Preprocessing, Filter for image improvement.
In tab Pre-processing you can filter and re- arrange the images taken by the sensor before analysis. Up to
5 filters and one arrangement- filter can be used, which are processed in the selected sequence. All
detectors (alignment and standard- detectors) will work with the pre-processed image (not with the
original image)
Especially morphological operations (Dilation and Erosion) can lead to improvements by combining them.
E.g. by processing Erosion and Dilation one after another – or in reverse order.
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Example:- Black points in front of a bright background can be eliminated, if a sequence of dilation and
erosion is processed.
The following arrangements are available for image improvement:
Arrangement type
Effect
Rotation 180°
Rotation of image for 180°
Mirror
Vertical mirroring
Flip
Horizontal mirroring
The following filters are available for image improvement:
Filter type
Effect
Gauss
Image is smoothed using a gaussian filter mask. This can be applied for
reduction of disturbances, suppression of disturbing details and artefacts and
smoothing the image.
Erosion
Extension of dark zones, elimination of light pixels in dark zones, elimination
of artefacts, division of bright objects. Each grey value is replaced by the
minimum grey level found inside the filter mask (e.g. 3x3).
Dilation
Extension of light zones, elimination of dark pixels in light zones, elimination
of artefacts, division of dark objects. Each grey value is replaced by the
maximum grey level found inside the filter mask (e.g. 3x3).
Median
Each grey value is replaced by the median value of the pixels found inside the
filter mask (e.g. 3x3).
Typical applications include noise reduction, especially for local bright or dark
pixels (“salt-and-pepper”-noise).
Mean
Each grey value is replaced by the average grey value of the pixels found inside
the filter mask (e.g. 3x3).
This can be applied for reduction of disturbances, suppression of disturbing
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