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IMAQ Vision
National Instruments IMAQ Vision Manuals
Manuals and User Guides for National Instruments IMAQ Vision. We have
2
National Instruments IMAQ Vision manuals available for free PDF download: User Manual
National Instruments IMAQ Vision User Manual (119 pages)
for LabWindows/CVI
Brand:
National Instruments
| Category:
Network Card
| Size: 2 MB
Table of Contents
User Manual
1
Important Information
3
Table of Contents
4
About this Manual
8
Conventions
8
Related Documentation
9
IMAQ Vision
9
NI Vision Assistant
9
NI Vision Builder for Automated Inspection
9
Other Documentation
10
Chapter 1 Introduction to IMAQ Vision
11
About IMAQ Vision
11
Application Development Environments
11
IMAQ Vision Function Tree
12
IMAQ Machine Vision Function Tree
13
Creating IMAQ Vision Applications
14
Chapter 2 Getting Measurement-Ready Images
17
Set up Your Imaging System
17
Calibrate Your Imaging System
18
Create an Image
18
Source and Destination Images
20
Acquire or Read an Image
21
Acquiring an Image
22
Reading a File
22
Converting an Array to an Image
23
Display an Image
23
Attach Calibration Information
24
Analyze an Image
24
Improve an Image
25
Lookup Tables
26
Filters
26
Convolution Filter
27
Nth Order Filter
27
Grayscale Morphology
27
Fft
28
Complex Image Operations
29
Chapter 3 Making Grayscale and Color Measurements
30
Define Regions of Interest
30
Defining Regions Interactively
30
Tools Palette Transformation
34
Defining Regions Programmatically
35
Defining Regions with Masks
35
Measure Grayscale Statistics
36
Measure Color Statistics
36
Comparing Colors
38
Learning Color Information
38
Specifying the Color Information to Learn
38
Choosing a Color Representation Sensitivity
41
Ignoring Learned Colors
42
Chapter 4 Performing Particle Analysis
43
Create a Binary Image
43
Improve the Binary Image
44
Removing Unwanted Particles
45
Separating Touching Particles
45
Improving Particle Shapes
45
Make Particle Measurements
46
Chapter 5 Performing Machine Vision Tasks
53
Locate Objects to Inspect
54
Using Edge Detection to Build a Coordinate Transform
56
Using Pattern Matching to Build a Coordinate Transform
58
Choosing a Method to Build the Coordinate Transform
59
Set Search Areas
60
Defining Regions Interactively
60
Defining Regions Programmatically
61
Find Measurement Points
61
Finding Features Using Edge Detection
61
Finding Lines or Circles
62
Finding Edge Points Along One Search Contour
63
Finding Edge Points Along Multiple Search Contours
64
Finding Points Using Pattern Matching
65
Defining and Creating Good Template Images
65
Feature Detail
66
Background Information
67
Training the Pattern Matching Algorithm
67
Defining a Search Area
68
Match Mode
69
Setting Matching Parameters and Tolerances
69
Testing the Search Algorithm on Test Images
70
Using a Ranking Method to Verify Results
71
Finding Points Using Color Pattern Matching
71
Color Information
72
Defining and Creating Good Color Template Images
72
Training the Color Pattern Matching Algorithm
73
Defining a Search Area
74
Setting Matching Parameters and Tolerances
75
Testing the Search Algorithm on Test Images
77
Finding Points Using Color Location
77
Convert Pixel Coordinates to Real-World Coordinates
78
Make Measurements
78
Distance Measurements
78
Analytic Geometry Measurements
79
Instrument Reader Measurements
79
Identify Parts under Inspection
80
Classifying Samples
80
Reading Characters
81
Reading Barcodes
82
Reading 1D Barcodes
82
Reading Data Matrix Barcodes
82
Reading PDF417 Barcodes
83
Display Results
83
Chapter 6 Calibrating Images
86
Perspective and Nonlinear Distortion Calibration
86
Defining a Calibration Template
87
Defining a Reference Coordinate System
88
Learning Calibration Information
90
Choosing a Learning Algorithm
91
Choosing a Region of Interest
91
Specifying Scaling Factors
91
Using the Learning Score
92
Calibration Invalidation
93
Learning the Correction Table
93
Learning the Error Map
93
Setting the Scaling Method
93
Simple Calibration
94
Save Calibration Information
95
Attach Calibration Information
95
Technical Support and Professional Services
96
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National Instruments IMAQ Vision User Manual (114 pages)
for Measurement Studio
Brand:
National Instruments
| Category:
Software
| Size: 2 MB
Table of Contents
User Manual
1
Important Information
3
Table of Contents
5
Chapter 1 Introduction to IMAQ Vision
8
About IMAQ Vision
8
Documentation and Examples
8
Application Development Environments
9
IMAQ Vision Function Tree
9
IMAQ Machine Vision Function Tree
11
Creating IMAQ Vision Applications
12
Chapter 2 Getting Measurement-Ready Images
14
Set up Your Imaging System
14
Calibrate Your Imaging System
15
Create an Image
15
Source and Destination Images
17
Acquire or Read an Image
18
Acquiring an Image
19
Reading a File
19
Converting an Array to an Image
20
Display an Image
20
Attach Calibration Information
21
Analyze an Image
21
Improve an Image
22
Lookup Tables
22
Filters
23
Convolution Filter
23
Nth Order Filter
24
Grayscale Morphology
24
Fft
24
Complex Image Operations
26
Chapter 3 Grayscale and Color Measurements
27
Define Regions of Interest
27
Interactively Defining Regions
27
Programmatically Defining Regions
32
Defining Regions with Masks
32
Measure Grayscale Statistics
33
Measure Color Statistics
33
Comparing Colors
34
Learning Color Information
35
Choosing the Right Color Information
35
Specifying the Color Information to Learn
36
Choosing a Color Representation Sensitivity
38
Ignoring Learned Colors
39
Chapter 4 Blob Analysis
40
Correct Image Distortion
41
Create a Binary Image
41
Improve the Binary Image
42
Removing Unwanted Blobs
42
Separating Touching Blobs
43
Improving Blob Shapes
43
Make Particle Measurements
43
Convert Pixel Coordinates to Real-World Coordinates
48
Chapter 5 Machine Vision
48
Locate Objects to Inspect
48
Using Edge Detection to Build a Coordinate Transform
49
Using Pattern Matching to Build a Coordinate Transform
51
Choosing a Method to Build the Coordinate Transform
53
Set Search Areas
54
Interactively Defining Regions
54
Programmatically Defining Regions
55
Find Measurement Points
55
Finding Features Using Edge Detection
55
Finding Lines or Circles
55
Finding Edge Points Along One Search Contour
57
Finding Edge Points Along Multiple Search Contours
58
Finding Points Using Pattern Matching
59
Defining and Create Good Template Images
59
Feature Detail
60
Background Information
61
Defining a Search Area
61
Training the Pattern Matching Algorithm
61
Setting Matching Parameters and Tolerances
62
Match Mode
63
Testing the Search Algorithm on Test Images
64
Using a Ranking Method to Verify Results
64
Finding Points Using Color Pattern Matching
64
Color Information
65
Defining and Creating Good Color Template Images
65
Training the Color Pattern Matching Algorithm
66
Defining a Search Area
67
Setting Matching Parameters and Tolerances
68
Testing the Search Algorithm on Test Images
70
Finding Points Using Color Location
71
Convert Pixel Coordinates to Real-World Coordinates
72
Make Measurements
72
Distance Measurements
72
Analytic Geometry Measurements
73
Instrument Reader Measurements
73
Display Results
74
Chapter 6 Calibration
76
Perspective and Nonlinear Distortion Calibration
76
Defining a Calibration Template
77
Defining a Reference Coordinate System
77
Learning Calibration Information
80
Choosing a Learning Algorithm
81
Choosing a Region of Interest
81
Specifying Scaling Factors
81
Using the Learning Score
82
Calibration Invalidation
83
Learning the Correction Table
83
Learning the Error Map
83
Setting the Scaling Method
83
Simple Calibration
84
Save Calibration Information
85
Attach Calibration Information
85
Web Support
86
Appendix A
86
Technical Support Resources
86
Worldwide Support
87
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