SC2000 Series Vision Sensor User Manual
31
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.
Filter Size
It is used to enhance the edge and suppress noise, and its min. value is 1. When the edge is
blurred or there is noise interference, you can increase its value to make the detection result
more stable. If the distance between the edge and the edge is smaller than the filter size, it will
affect the accuracy of the edge location or even lose edge. This parameter value needs to be set
based on the actual situation.
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
It means that the maximum pixel distance from the outlier to the fit circle. The smaller the
value, the more points are excluded.
Caliper Width
It is the width of the caliper.
Initial Locating
When enabling, the algorithm locates the best circle.
Subsampling Coefficient
The larger the subsampling coefficient, the less initial location time will be. It is recommended
not to set this parameter value too large.
Locating Sensitivity
It is used to eliminate the interference points. The larger the value, the stronger the ability to
eliminate noise interference, but it is also easy to cause the initial location of circle failure.
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.
To Next Page
Loading...
