Manual

Table Of Contents

DobotVisionStudio User Guide

• Subsampling Coefficient: it is also called downsampling, which means that the number of

sampling points is decreased. For an image of N*M, if the subsampling coefficient is K, then one

dot is taken every K points of each row and column in the original image to create an image.

Therefore, the larger the subsampling coefficient, the more sparse the contour points will be, and

the less detailed contour will be. It is recommended that the value should not be set too large.

• Circle 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.

• Distance to Remove: It means that the maximum pixel distance from the outlier to the fit

circle. The smaller the value, the more points are excluded.

• Projection Width: In the ROI, several edge points are distributed in a circle to search for

the ROI. This parameter describes the width of the area where the edge points are scanned for the

ROI. Increase the value within a certain range to obtain more stable edge points.

• Initial Fit: It has two types, including global and partial fit.

- Partial: Local optimization is to fit the circle according to the local feature

points. If the local feature more accurately reflects the position of the circle,

the local optimization is adopted, otherwise the global optimization is

adopted.

- Global: circle fit with the found global feature points.

• Fit Mode: It has three types, including least squares, huber and tukey.The three fitting

methods only have some differences in the calculation of weight. With the increase of the number

of outliers and the distance of outliers, the least squares, Huber and Tukey can be used step by step.

NOTICE

You can use this tool to search only one circle at one time. If you want to search multiple

circles, it is recommended to use it together with the loop function.

Line Search

The tool of line search is used to search a line with certain features in the image. It forms feature

point groups using known feature points, and then fits into a line. The basic parameters and result

display have been explained in Tool Application. This section mainly describes the running

parameters. For the parameters not mentioned, refer to Circle Search.