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Adaptive Bidirectional Gray-Scale Center of Gravity Extraction Algorithm of Laser Stripes
Miaomiao Zhang1, Zhengnan Li1, Fuquan Zhang1
1School of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China.
Sensors (Basel, Switzerland)
|December 23, 2022
Summary
This study introduces an adaptive algorithm for fast and precise laser stripe detection. It enhances workpiece detection accuracy in industrial settings by optimizing light stripe analysis.
Area of Science:
- Computer Vision
- Image Processing
- Metrology
Background:
- Accurate workpiece detection is crucial for industrial automation.
- Existing laser stripe detection methods often lack speed and precision in complex environments.
Purpose of the Study:
- To develop a novel algorithm for fast and high-precision detection of laser stripes.
- To improve the adaptability of laser stripe detection in challenging industrial settings.
Main Methods:
- Proposed an adaptive bidirectional grayscale center of gravity extraction algorithm.
- Implemented adaptive image processing area setting based on stripe position.
- Combined upper contour and bidirectional grayscale barycenter for stripe center calculation.
- Optimized stripe center points and used slope-intercept for breakpoint completion.
Main Results:
- The algorithm demonstrated high speed and precision in experimental tests.
- Achieved specific adaptability to laser stripes in complex environments.
- Significantly improved detection performance compared to conventional algorithms.
Conclusions:
- The developed algorithm offers a significant advancement for industrial detection applications.
- It provides a robust solution for fast and accurate laser stripe analysis.
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