National Instruments IMAQ Vision for Measurement Studio User Manual Page 44
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Chapter 4 Blob Analysis
© National Instruments Corporation 4-5 IMAQ Vision for LabWindows/CVI User Manual
commonly used measurements, including the area, projection along
the x-axis and y-axis, and perimeter of each blob.
•
imaqSelectParticles()
—This function selects information about
blobs from the reports generated by
imaqGetParticleInfo()
.
Blobs that do not meet the criteria you set are filtered from the reports.
•
imaqCalcCoeff()
—This function uses the reports from
imaqGetParticleInfo()
or
imaqSelectParticles()
to
calculate 50 particle measurements.
Table 4-1 lists all of the measurements that
imaqCalcCoeff()
returns.
Table 4-1.
Particle Measurements
Measurement Description
IMAQ_AREA
area of the particle in pixels
IMAQ_AREA_CALIBRATED
area of the particle in user-defined units
IMAQ_NUM_HOLES
number of holes within the particle
IMAQ_AREA_OF_HOLES
total area of the particle holes in pixels
IMAQ_TOTAL_AREA
area of the particle and its holes
IMAQ_IMAGE_AREA
area of the entire image in real-world units
IMAQ_PARTICLE_TO_IMAGE
ratio, expressed as a percent, of the surface area of a
particle in relation to the image area
IMAQ_PARTICLE_TO_TOTAL
ratio, expressed as a percent, of the surface area of a
particle in relation to the total area of the particle
IMAQ_CENTER_MASS_X
x-coordinate of the center of mass
IMAQ_CENTER_MASS_Y
y-coordinate of the center of mass
IMAQ_LEFT_COLUMN
left x-coordinate of the bounding rectangle
IMAQ_TOP_ROW
top y-coordinate of the bounding rectangle
IMAQ_RIGHT_COLUMN
right x-coordinate of the bounding rectangle
IMAQ_BOTTOM_ROW
bottom y-coordinate of bounding rectangle
IMAQ_WIDTH
width of bounding rectangle in user-defined units
IMAQ_HEIGHT
height of bounding rectangle in user-defined units
IMAQ_MAX_SEGMENT_LENGTH
length of longest horizontal line segment in a particle
- 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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