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A planar-dimensions machine vision measurement method based on lens distortion correction.

Qiucheng Sun1, Yueqian Hou, Qingchang Tan

  • 1College of Basic Science, Changchun University of Technology, Yanan Street 2055, Changchun 130012, China.

Thescientificworldjournal
|November 30, 2013
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Summary

This study introduces a novel planar-dimensions vision measurement method that corrects lens distortion on the pixel plane. This approach enhances measurement accuracy in optical imaging systems, even with distorted images.

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Area of Science:

  • Optics and Vision Science
  • Metrology and Measurement

Background:

  • Lens distortion is a common issue in optical imaging, leading to geometric distortions and measurement errors.
  • Accurate planar-dimensions measurement is crucial in various industrial and scientific applications.

Purpose of the Study:

  • To propose an improved camera calibration method for accurate planar-dimensions vision measurement.
  • To correct lens distortion directly on the pixel plane of the image.

Main Methods:

  • Utilizing feature points from the image's central region to establish an accurate perspective projection model.
  • Employing smoothing spline functions to model lens distortion and derive correction functions.
  • Integrating correction functions to obtain an accurate magnification factor for measurements.

Main Results:

  • The proposed method effectively corrects lens distortion on the pixel plane.
  • Accurate planar-dimensions measurements were achieved, demonstrated by measuring shaft diameter.
  • Experimental data confirmed the method's effectiveness even with significant lens distortion.

Conclusions:

  • The improved camera calibration and lens distortion correction method enhances the accuracy of planar-dimensions vision measurements.
  • This technique offers a robust solution for metrology in optical systems affected by lens distortion.