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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• Scale Range: it means scale changing range when comparing the target and created
template. If you want to search the target with same scale changing, and then you need to set
respectively, and the default range is 1.0 to 1.0.
(2) Advanced Parameters
• Max. Overlap Threshold: when searching for multiple targets, two detected targets
overlapping with each other, and the maximum overlap ratio allowed by the matching frames is
overlap threshold. The larger the value, the greater the degree of overlapping between the two targets.
The range is 0° to 100° and it is 50 by default.
• Sort:
- Sort by score in descending order: sorted by the score of the feature match in
descending order.
- Sort by angle in descending order: in descending order of relative angular deviation
in the current result.
- Sort by X from small to large: the current result has the X coordinate of the matching
box center. According to the X coordinate, the order is rounded up from small to
large. When the X coordinates are the same, then is sorted by Y from big to small,
and the Y axis has the same operation with X axis.
- X is from small to large, and Y is from small to large too: the current result has the
matching box center X/Y coordinates. According to the X coordinate, the order is
rounded up from small to large. When the X coordinates are the same, then the order
is sorted according to Y from small to large.
• Threshold Type:
- - Automatic threshold: it automatically determines the threshold parameter according
to the target image.
- - Template threshold: it uses the contrast threshold of the template as the contrast
threshold in matching phase.
- - Manual threshold: it uses the threshold set by the user as the threshold parameter
for searching.
• Clutter Considered: If mottle considered is enabled, the algorithm will consider the mottle
feature. If the feature has burrs, the score will decrease.
• Extension Threshold: it is the ratio that the portion of missing feature compared with the
complete feature when the image is incompletely displayed at the edge of the image. When the
searched target appears in the edge of the image, the extension threshold can make sure the image
is found. As long as the value of setting extension threshold is larger than 30, it is guaranteed that
the top target graph can be searched.
• Timeout Control: When the time exceeds the time set by the overtime control, the search
will stop and no search result will be returned. The value range of overtime control is 0 ms to 10000
ms, and 0 means that the overtime control is disabled.
• Contour Enabled: if contour enabled is enabled, the contour feature points of the template
are displayed. If it is disabled, the feature points are not displayed, and only the matching frame is
displayed, which can reduce operation time.