Research on Algorithm of Light Strip Center Extraction Based on Deep Learning


  • Xiangwen Zheng
  • Jun Li
  • Chen He



Complex surface; Strip center; Deep learning; pre-segmtioned.


In view of the phenomena such as under-exposure of light strips and noise interference caused by complex surfaces of objects, it is difficult for traditional light strip center extraction algorithm to achieve light strip center extraction. Therefore, this paper studies the extraction of light strip center line based on semantic segmentation network algorithm based on deep learning, uses deep learning algorithm to presegment light strips, and then uses gray prime-core method to extract light strips subpixel. Improve the stability and accuracy of center line extraction.


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A.A.Al-Temeemy, S.A. Al-Saqal Laser-based structured light technique for 3D reconstruction using extreme laser stripes extraction method with global information extraction Opt. Laser Technol., 138 (2021), Article 106897, 10.1016/j.optlastec.2020.106897

S. Pang, H. Yang, An algorithm for extracting the center of linear structured light fringe based on directional template, in: 2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE). IEEE, 2021, pp. 203-207.

T.Y. Zhang, C.Y. Suen A fast parallel algorithm for thinning digital patterns Commun. ACM, 27 (3) (1984), pp. 236-239.

C. Steger An unbiased detector of curvilinear structures IEEE Trans. Pattern Anal. Mach. Intell., 20 (2) (1998), pp. 113-125.







How to Cite

Research on Algorithm of Light Strip Center Extraction Based on Deep Learning. (2024). Academic Journal of Science and Technology, 9(1), 101-103.

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