HikRobot SC2000 Series User Manual page 42

and them into a line within scan area. The Last refers to find the set of edge points that have
the closest distance with ending point and them into a line within scan area.
Edge Polarity
It has three modes, including Black to White, White to Black, and All. Black to White refers to
the transition from the area with a high gray value to the edge of the area with a low gray value.
White to Black refers to the transition from the area with a low gray value to the edge of the
area with a high gray value. All refers to both edges are detected.
Edge Intensity
It is also called gradient threshold, and its range is from 0 to 255. The edge point whose gradient
threshold is larger than this value can be detected. The larger the value, the stronger noise
resistibility, the smaller the number of edges obtained, and even the target edge points are
filtered out.
Edge Width
It means the edge span. The larger the span, the slower the edge transition speed will be. It is
recommended to set a large value. If the two edges are too close, the large value may result in
edge losing.
Caliper Quantity
It is used to scan ROI area quantity of edge points.
Removed Point
It means that the number of minimum points that have high error to be excluded from fitting. In
general, if there is a great number of points excluded from fitting, its value should be set higher.
For better results, it is recommended to use it in combination with the parameter of distance to
remove.
Removed Distance
The max. pixel distance from the outliers to the fit circle. The smaller the value, the more the
exclusion points.
Projection Width
It means that the area width of edge point ROI. You can increase this parameter value within a
certain range to obtain a more stable edge points.
Initial Fit Type
It has two types, including Overall and Local. Overall is used to find global feature points and fit
circle. Local is used to fit the circle according to the local feature points.
Fit Mode
It has three types, including LS, huber and tukey. As the number of outliers and the distance
from the group increases, it is recommended to use least squares, huber, and tukey
successively.
SC2000 Series Vision Sensor User Manual
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