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Surface contouring by optical edge projection based on a continuous wavelet transform.

Chenggen Quan1, Hong Miao, Yu Fu

  • 1Department of Mechanical Engineering, National University of Singapore, Singapore 1119260, Singapore. mpeqcg@nus.edu.sg

Applied Optics
|June 30, 2006
PubMed
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This study introduces a new optical edge projection method for 3D surface contouring of low-reflectivity objects. The technique uses continuous wavelet transform (CWT) for precise edge detection, successfully measuring woven carbon fiber surfaces.

Area of Science:

  • Optics and Photonics
  • Computer Vision
  • Materials Science

Background:

  • Surface contouring of low-reflectivity objects presents challenges for traditional optical methods.
  • Accurate 3D surface profiling is crucial in various industrial and scientific applications.
  • Existing edge detection methods often rely on subjective thresholding, limiting precision.

Purpose of the Study:

  • To develop a novel optical edge projection method for precise surface contouring of objects with low reflectivity.
  • To implement an automated edge detection technique for robust 3D surface profile evaluation.
  • To validate the method's effectiveness on challenging materials like woven carbon fiber.

Main Methods:

  • A structured light edge is projected onto the object's surface and captured by a CCD camera.

Related Experiment Videos

  • Active triangulation is used to evaluate the surface profile.
  • A continuous wavelet transform (CWT) based edge detection algorithm determines the optical edge location.
  • The optical edge is scanned across the entire object surface to obtain a whole-field 3D contour.

    • Main Results:

    • The proposed CWT edge detection method accurately identifies the true edge position without subjective threshold selection.
    • The method successfully generated a whole-field three-dimensional contour of a black, low-reflectivity woven carbon fiber object.
    • Experimental results demonstrate the feasibility and effectiveness of the optical edge projection technique for complex surfaces.

    Conclusions:

    • The novel optical edge projection method, combined with CWT edge detection, offers a robust solution for 3D surface contouring of low-reflectivity materials.
    • This technique overcomes limitations of threshold-dependent methods, enabling objective and precise surface profile acquisition.
    • The successful measurement of woven carbon fiber highlights the method's potential for advanced material characterization.