National Instruments IMAQTM 用户手册
Chapter 6
Calibrating Images
6-6
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Specifying Scaling Factors
Scaling factors are the real-world distances between the dots
in the calibration grid in the x and y directions and the units in
which the distances are measured. Use
in the calibration grid in the x and y directions and the units in
which the distances are measured. Use
CWIMAQCalibrationGridOptions.GridDescriptor
to
specify the scaling factors.
Choosing a Region of Interest
Define a learning ROI during the learning process to define a region of the
calibration grid you want to learn. The software ignores dot centers outside
this region when it estimates the transformation. Creating a user-defined
ROI is an effective way to increase correction speeds depending on the
other calibration options selected. Pass a CWIMAQRegions collection
representing the region you want to learn to the
calibration grid you want to learn. The software ignores dot centers outside
this region when it estimates the transformation. Creating a user-defined
ROI is an effective way to increase correction speeds depending on the
other calibration options selected. Pass a CWIMAQRegions collection
representing the region you want to learn to the
Regions
parameter of
CWIMAQVision.LearnCalibrationGrid
or
CWIMAQVision.LearnCalibrationPoints
.
Note
The user-defined ROI represents the area in which you are interested. The learning
ROI is separate from the calibration ROI that is generated by the calibration algorithm.
Refer to Figure 6-6 for an illustration of calibration ROIs.
Refer to Figure 6-6 for an illustration of calibration ROIs.
Choosing a Learning Algorithm
Select a method in which to learn the calibration information: perspective
projection or nonlinear. Figure 6-5 illustrates the types of errors the image
can exhibit. Figure 6-5a shows an image of a calibration grid with no
errors. Figure 6-5b shows an image of a calibration grid with perspective
projection. Figure 6-5c shows an image of a calibration grid with nonlinear
distortion.
projection or nonlinear. Figure 6-5 illustrates the types of errors the image
can exhibit. Figure 6-5a shows an image of a calibration grid with no
errors. Figure 6-5b shows an image of a calibration grid with perspective
projection. Figure 6-5c shows an image of a calibration grid with nonlinear
distortion.
Figure 6-5. Types of Image Distortion
a.
c.
b.