National Instruments IMAQ Vision for Measurement Studio User Manual Page 85
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Chapter 6 Calibration
IMAQ Vision for LabWindows/CVI User Manual 6-10 ni.com
Save Calibration Information
After you learn the calibration information, you can save it so that you do
not have to relearn the information for subsequent processing. Use
imaqWriteVisionFile()
to save the image of the grid and its associated
calibration information to a file. To read the file containing the calibration
information use
imaqReadVisionFile()
. For more information about
attaching the calibration information you read from another image, see the
Attach Calibration Information section.
Attach Calibration Information
Now that you have calibrated your setup correctly, you can apply
the calibration settings to images that you acquire. Use
imaqCopyCalibrationInfo()
to attach the calibration information of
the current setup to each image you acquire. This function takes in a source
image containing the calibration information and a destination image that
you want to calibrate. The destination image is your inspection image with
the calibration information attached to it.
Using the calibration information attached to the image, you can accurately
convert pixel coordinates to real-world coordinates to make any of the
analytic geometry measurements with
imaqTransformPixelToRealWorld()
. If your application requires that
you make shape measurements, correct the image by removing distortion
with
imaqCorrectImage()
.
Note
Because calibration information is part of the image, it is propagated throughout
the processing and analysis of the image. Functions that modify the image size (such as an
image rotation function) void the calibration information. Use
imaqWriteVisionFile()
to save the image and all of the attached calibration information to a file.
- IMAQ Vision 1
- User Manual 1
- Important Information 3
- Conventions 4
- Contents 5
- Chapter 4 6
- Chapter 5 6
- Introduction to IMAQ Vision 8
- IMAQ Vision Function Tree 9
- Table 1-1 10
- IMAQ Vision Function Types 10
- NIMachineVision.fp 11
- Getting Measurement-Ready 14
- Calibrate Your Imaging System 15
- Create an Image 15
- Source and Destination Images 17
- AcquireorReadanImage 18
- Acquiring an Image 19
- Reading a File 19
- Display an Image 20
- Analyze an Image 21
- Improve an Image 22
- Convolution Filter 23
- Nth Order Filter 24
- Grayscale Morphology 24
- Complex Image Operations 26
- Grayscale and Color 27
- Measurements 27
- Figure 3-2. ROI Constructor 30
- Defining Regions with Masks 32
- Measure Grayscale Statistics 33
- Measure Color Statistics 33
- Comparing Colors 34
- Learning Color Information 35
- Using the Entire Image 36
- Using a Region in the Image 36
- Ignoring Learned Colors 39
- Blob Analysis 40
- Correct Image Distortion 41
- Create a Binary Image 41
- Improve the Binary Image 42
- Make Particle Measurements 43
- Chapter 4 Blob Analysis 44
- Machine Vision 47
- Locate Objects to Inspect 48
- Chapter 5 Machine Vision 49
- Figure 5-3 51
- IMAQ_MATCH_ROTATION_INVARIANT 52
- IMAQ_MATCH_SHIFT_INVARIANT 52
- IMAQ_FIND_REFERENCE 52
- IMAQ_UPDATE_TRANSFORM 52
- Set Search Areas 54
- Find Measurement Points 55
- Symmetry 59
- Feature detail 60
- Positional information 60
- Defining a Search Area 61
- Match Mode 63
- Minimum Contrast 63
- Rotation Angle Ranges 63
- Color Information 65
- Feature Detail 66
- Positional Information 66
- Background Information 66
- Color Sensitivity 69
- Search Strategy 69
- Color Score Weight 70
- Make Measurements 72
- Display Results 74
- Calibration 76
- CoordinateSystem 77
- Chapter 6 Calibration 78
- Specifying Scaling Factors 81
- Choosing a Region of Interest 81
- Choosing a Learning Algorithm 81
- Using the Learning Score 82
- Learning the Error Map 83
- Learning the Correction Table 83
- Setting the Scaling Method 83
- Calibration Invalidation 83
- Simple Calibration 84
- Save Calibration Information 85
- Technical Support Resources 86
- Worldwide Support 87
- Glossary 100
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