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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- From top to bottom means that the edge point is searched in the left and right
direction relative to the search ROI. If the search ROI is rotated by 90°, and
then the edge point is searched from bottom to top direction.
- Left to right means that the edge point is searched in the top and bottom
direction relative to the search ROI. If the search ROI is rotated by 90°, and
then the edge point is searched from left to right direction.
- Projection is to project a whole edge into a pixel, so the direction of finding
the edge and the projection direction must be in the horizontal direction and
the vertical direction, as shown in the following figure.
• Blurred Edge: Turn on this enable to enhance the extraction ability of the candidate edge
point set, with more candidate point sets, so that the target edge points can be extracted more likely
in the "image with more interference points" or "image with blurred edges" scene, but the time
consumption increases significantly.
• Score Enable
- Single Edge
1. Contrast Score Enable: it is scored by edge contrast or edge pair contrast. The
user can execute contrast score on the candidate edges. The edge contrast here
reflects the intensity of the grayscale change at the edge. The maximum score
is 1.0, which is equivalent to an edge contrast of 255 (the maximum value of
the edge contrast). If it is the search mode of edge pair, the average contrast of
the two edges is used as the scoring factor.
2. Position Score Enable: it is scored by the absolute position difference of the
edge or edge pair center relative to the center of the ROI area.
3. Relative Position Score Enable: it is scored by the absolute position difference
(positive or negative) of the edge or edge pair center relative to the center of the
ROI area.
4. Gray Score Enable: score by regional projection gray mean value.
Each score enabling has six parameters, including curve type, starting point,
midpoint, ending point, highest value, and lowest value of score. Curve type includes