Accurate laser line extraction algorithm based on morphological features under strong interference

Yuanzhe Wu; Liang Ye

doi:10.1117/12.3003426

7 March 2024 Accurate laser line extraction algorithm based on morphological features under strong interference

Yuanzhe Wu, Liang Ye

Proceedings Volume 13088, MIPPR 2023: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 130880O (2024) https://doi.org/10.1117/12.3003426
Event: Twelfth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2023), 2023, Wuhan, China

Abstract

In outdoor complex lighting environments, laser stripe extraction becomes challenging due to the possibility of strong exposures in the external environment as well as reflective interference on the road surface. In order to overcome these problems, this paper proposes a multi-feature structured light extraction algorithm based on seed neighborhoods, which utilizes multiple seed points and comprehensively considers the laser stripe features, especially the morphological features of the optical stripes in their surrounding neighborhoods, so as to obtain the approximate distribution location of the real laser stripe. Finally, the laser streak extraction is performed by the gradient difference of the optical streak boundary as well as its own brightness. The experimental results show that the method is still effective in extracting laser lines even in high exposure environments where there are interferences such as reflections on the road surface.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuanzhe Wu and Liang Ye "Accurate laser line extraction algorithm based on morphological features under strong interference", Proc. SPIE 13088, MIPPR 2023: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 130880O (7 March 2024); https://doi.org/10.1117/12.3003426

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KEYWORDS

Reflection

Roads

Feature extraction

Laser marking

Structured light

Object detection

Visual inspection

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