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Research on Subpixel Algorithm of Fixed-Point Tool Path Measurement.

Xi Zhang1, Zixie Guo1, Xiangwei Liu1

  • 1School of Mechanical and Automation, Shanghai University, Shanghai 201900, China.

Computational Intelligence and Neuroscience
|September 13, 2021
PubMed
Summary
This summary is machine-generated.

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This study introduces a new subpixel edge detection method for machine tool safety. The novel approach enhances image processing accuracy for reliable tool contour detection.

Area of Science:

  • Manufacturing Engineering
  • Computer Vision
  • Image Processing

Background:

  • Tool safety is critical in machining operations.
  • Machine tool path image detection aids in monitoring tool conditions.
  • Accurate edge detection is essential for precise image processing.

Purpose of the Study:

  • To propose a novel subpixel edge detection method.
  • To improve the accuracy and reliability of edge detection in machine tool monitoring.
  • To enhance the precision of in-machine tool condition assessment.

Main Methods:

  • Image precontour segmentation via binarization.
  • Calculation of the second derivative near the target point.
  • Curve fitting using sampled values to determine subpixel positions.

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Main Results:

  • The proposed method successfully extracts improved subpixel edges.
  • The method achieves higher accuracy and reliability compared to pixel-level operators like Canny.
  • Satisfactory subpixel contours were obtained in experimental validation.

Conclusions:

  • The novel subpixel edge detection method is effective for high-accuracy applications.
  • This technique can be applied to online tool contour detection for enhanced safety.
  • The method offers a reliable solution for improving machine tool safety through advanced image processing.