Anti-stain algorithm of angular displacement based on a single image sensor

Area of Science:

• Engineering
• Optics
• Image Processing

Background:

• Industrial displacement measurement systems are susceptible to failure caused by dust, oil, and other contaminants.
• Existing techniques lack robust solutions for stain interference, creating a need for advanced anti-stain methods.
• Image-based angular displacement measurement offers potential for improved stain resistance through image processing.

Purpose of the Study:

• To develop and validate a novel image-type anti-stain algorithm for angular displacement measurement.
• To address the limitations of current techniques in industrial environments prone to staining.
• To enhance the reliability and accuracy of displacement measurement systems in the presence of contaminants.

Main Methods:

• Assessed the impact of stains on calibration gratings using image angular displacement measurement principles.
• Developed a single-head image-type anti-stain algorithm utilizing metal grating and multi-line fusion.
• Tested the algorithm on a 38 mm diameter circular grating with 256 lines.

Main Results:

• The proposed algorithm effectively removes interference from small stains.
• Accurate angle measurement output is maintained when stains cover less than half of the coding bits.
• Demonstrated the algorithm's capability to ensure measurement accuracy despite partial grating contamination.

Conclusions:

• The developed image-type anti-stain algorithm provides a viable solution for industrial displacement measurement challenges.
• This technique enhances stain resistance, ensuring reliable performance in contaminated environments.
• The study lays the groundwork for more robust and high-performance displacement measurement technologies.