Manual
Table Of Contents
- 1. Updates
- 2. Product Introduction
- 3. Software Interface
- 3.1 Welcome Page
- 3.2 Home Page
- 3.3 Menu
- 3.4 Control Toolbar
- 3.5 Tool Box
- 3.6 Result Display
- 3.7 Flow Management
- 3.8 Camera Management
- 3.9 Controller Management
- 3.10 Global Variables
- 3.11 Communication Management
- 3.12 Global Trigger
- 3.13 Global Script
- 3.14 Operation Interface
- 3.15 Data Queue
- 3.16 Flow Time
- 3.17 Dobot Panel
- 4. Vision Tools
- 4.1 Acquisition
- 4.2 Location
- 4.2.1 Feature Match
- 4.2.2 Greyscale Match
- 4.2.3 Mark Location
- 4.2.4 Circle Search
- 4.2.5 Line Search
- 4.2.6 Blob Analysis
- 4.2.7 Caliper
- 4.2.8 Edge Search
- 4.2.9 Position Correction
- 4.2.10 Rect Search
- 4.2.11 Peak Search
- 4.2.12 Edge Intersection
- 4.2.13 Parallel Lines Search
- 4.2.14 Quadrilateral Search
- 4.2.15 Line Group Search
- 4.2.16 Multi-line Search
- 4.2.17 Blob Label Analysis
- 4.2.18 Path Extraction
- 4.2.19 Find Angle Bisector
- 4.2.20 Find Median Line
- 4.2.21 Calculate Parallel Lines
- 4.2.22 Find Vertical Line
- 4.3 Measurement
- 4.4 Image Generation
- 4.5 Recognition
- 4.6 Deep Learning
- 4.7 Calibration
- 4.8 Calculation
- 4.9 Image Processing
- 4.9.1 Image Combination
- 4.9.2 Image Morphology
- 4.9.3 Image Binarization
- 4.9.4 Image Filter
- 4.9.5 Image Enhancement
- 4.9.6 Image Computing
- 4.9.7 Distortion Correction
- 4.9.8 Image Clarity
- 4.9.9 Image Fixture
- 4.9.10 Shade Correction
- 4.9.11 Affine Transformation
- 4.9.12 Ring Expansion
- 4.9.13 Copy and Fill
- 4.9.14 Frame Mean
- 4.9.15 Image Normalization
- 4.9.16 Image Correction
- 4.9.17 Geometric Transformation
- 4.9.18 Image Stitch
- 4.9.19 Multiple Images Fusion
- 4.10 Color Processing
- 4.11 Defect Detection
- 4.11.1 OCV
- 4.11.2 Arc Edge Defect Detection
- 4.11.3 Linear Edge Defect Detection
- 4.11.4 Arc-Pair Defect Detection
- 4.11.5 Line-Pair Defect Detection
- 4.11.6 Edge Group Defect Detection
- 4.11.7 Edge Pair Group Defect Detection
- 4.11.8 Edge Model Defect Detection
- 4.11.9 Edge Pair Model Defect Detection
- 4.11.10 Defect Contrast
- 4.12 Logic Tools
- 4.13 Communication
- 4.14 Dobot Magician Tools
- 5. Cases
- 6. Dobot Magician Demo
DobotVisionStudio User Guide
Issue V4.1.2 (2022-06-08) User Guide Copyright © Yuejiang Technology Co., Ltd.
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• Score: match score.
High-Precision Match
1. Feature Template
The feature template of high-precision match is similar to that of fast match. Create the feature
template in accordance with the specific methods of fast match above, and the specific parameters
are listed as below.
Template Match
• Match Point: it is used to create location standard. Click Select Model Match Center,
and set match point by yourself.
• Scale Mode: when its auto mode can meet demands, it will not adjust. if not, it will switch
to manual mode.
• Roughness scale: the higher the roughness scale parameter, the greater feature scale, and
its respective edge points will be sparse. But, in this way, it can speed up feature matching speed,
and the range is 1 to 20 by default.
• Threshold Mode: when its auto mode can meet demands, it will not adjust. if not, it will
switch to manual mode.
• Contrast Threshold: it means the contrast value. It is related with feature points and gray
value of background. The larger the value, more feature points will be eliminated, and the range is
1 to 255 by default.
2. Running Parameters
You can set parameters of high-precision feature match in order to set search space. Only the targets
in specific search space can be searched, as shown below.
(1) Basic Parameters
• All Search Mode: all the templates are matched after enabling and output the optimal
results.
• Min. Match Score: the match score means the similarity between feature template and
target in searched images. It is also called as similarity threshold. Only when the target's similarity
reaches similarity threshold, it can be searched out. The max. value is 1 which means totally matched,
and it is 0.5 by default.
• Max. Match Number: it is the max. target quantity can be searched. It is 1 by default and
the range is 1 to 200.
• Match Polarity: polarity means the color transition from feature image to background.
When the edge polarity of the searched target does not match with feature template polarity, but you
want to make sure the target is searched, then you need to set match polarity as ignored. if not, you
can set as considered, and search time can be reduced.
• Angle Range: it means the angle changing range when comparing the target and created
template. If you want to search the proactive target, and then you need to set respectively, and the
default range is -180° to 180°.