Taotao Li, Feng Yang, Shigeng Li, Yu He. Extraction Method of Line-Structured Light Stripe Center Based on Gauss-Lorenz Decomposition Peak Fitting[J]. Laser & Optoelectronics Progress, 2019, 56(7): 071201
- Laser & Optoelectronics Progress
- Vol. 56, Issue 7, 071201 (2019)
Fig. 1. Images of line-structured light stripes. (a) Approximately ideal reflection stripe; (b) strong diffuse reflection stripe; (c) strong specular reflection stripe; (d) weak reflection stripe
Fig. 2. Cross-sectional gray distributions at marked positions. (a) Sa; (b) Sb; (c) Sc; (d) Sd
Fig. 3. Results of single Gaussian fitting. (a) Approximately ideal light stripe; (b) strong specular reflection stripe
Fig. 4. Distribution curves of Gaussian and Lorentz components
Fig. 5. Flow chart of light stripe center extraction process based on G-L decomposition peak fitting
Fig. 6. Normalization of weak reflection light stripe image. (a) Before normalization; (b) after normalization
Fig. 7. Extraction of light stripe ROI. (a) Original image; (b) after Otsu initial extraction; (c) after removal of interference regions
Fig. 8. G-L fitting results of various types of light stripes. (a) Approximately ideal light stripe; (b) strong diffuse reflection stripe; (c) strong specular reflection stripe; (d) weak reflection stripe
Fig. 9. Four types of light stripe images used in contrast experiment. (a) Approximately ideal light stripe;(b) strong diffuse reflection stripe; (c) strong specular reflection stripe; (d) weak reflection stripe
Fig. 10. Extraction results of light stripe centers. (a) Approximately ideal light stripe; (b) strong diffuse reflection stripe; (c) strong specular reflection stripe; (d) weak reflection stripe
Fig. 11. Reliability evaluation results of light stripe centers. (a) Approximately ideal light stripe; (b) strong diffuse reflection stripe; (c) strong specular reflection stripe; (d) weak reflection stripe
Fig. 12. Time consumption comparison of extraction
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Table 1. λ and Q(x) in energy model
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Table 2. Statistics of average confidence
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