Three-dimensional Hessian-based laser stripe centerline extraction method using spatiotemporal volume construction.

Area of Science:

• Optics and Photonics
• Computer Vision
• Metrology

Background:

• Accurate laser stripe centerline detection is vital for linear laser measurement systems.
• Conventional methods struggle with real-world challenges like stray light and non-uniform reflectance.
• These limitations impact the overall precision of measurement systems.

Purpose of the Study:

• To develop an advanced method for robust laser stripe centerline detection.
• To overcome limitations of existing techniques in challenging environments.
• To enhance the accuracy and reliability of linear laser measurement systems.

Main Methods:

• A spatiotemporal three-dimensional Hessian-based approach is proposed.
• The method processes a sequence of images, creating a 3D space-time volume.
• This incorporates the temporal dimension to analyze stripe behavior over time.

Main Results:

• The proposed algorithm significantly enhances spatiotemporal coherence.
• Extraction accuracy of genuine laser stripes is improved.
• Transient noise and temporal flicker are effectively suppressed.

Conclusions:

• The 3D Hessian-based method offers a reliable solution for precise laser stripe detection.
• It demonstrates superior performance compared to conventional approaches.
• The findings contribute to advancements in optical measurement technologies.