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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Running Parameter
• Edge Mode: it includes single edge and edge pair modes.
- Single edge mode detects the edge position in the specific area and can be
used to locate, count and verify the presence or absence.
- Edge pair mode detects edge spacing in a specific area.
• Filter Size: it is used to enhance the edge and suppress noise, and its minimum value is 1.
When the edge is blurred or there is noise interference, you can increase its value to make the
detection result more stable. If the distance between the edge and the edge is smaller than the filter
size, it will affect the accuracy of the edge location or even lose edge. This value needs to be set
based on the actual situation.
• Edge Threshold: The edge threshold is the gradient threshold, ranging from 0 to 255. Only
edge points whose edge gradient threshold is greater than this value are detected. The larger the
value is, the stronger the anti noise ability is, the less the number of edges is, and even the target
edge points are screened out.
• Edge Polarity: it has three modes, including dark to light, light to dark and both.
• Edge Pair Width: it means that the size of the pixel spacing of the edge pairs that are
expected to be output. Adjusting this parameter separately cannot directly screen out the expected
edge pairs. Only when one or more score methods, including current position normalization score,
relative position normalization score, space score, space gap score and relative space gap score, are
enabled, adjusting this parameter is meaningful.
• Max. Result Number: it is the maximum number of edge pairs expected to be output. If
the logarithm actually found is greater than this parameter, the edge pair of this parameter is output
according to the score from high to low. Otherwise, the actual edge pair quantity is output.
• Sort Method: score ascending, score descending, direction forward and direction reverse.
The results are sorted according to the selected type.
• Projection Direction: it includes from top to bottom and from left to right.