TY  - JOUR
AU  - Li, Xiwen
AU  - Liang, Jingyuan
AU  - Ke, Xizheng
PY  - 2026
DA  - 2026/08/15
TI  - Application of Region Growing Algorithm in Hartmann Wavefront Reconstruction
JO  - Optical Wireless Communication
T2  - Optical Wireless Communication
JF  - Optical Wireless Communication
VL  - 1
IS  - 1
SP  - 44
EP  - 59
DO  - 10.62762/OWC.2026.960227
UR  - https://www.icck.org/article/abs/OWC.2026.960227
KW  - adaptive optics
KW  - wavefront reconstruction
KW  - region growing algorithm
KW  - shack-hartmann wavefront sensor
AB  - The Shack-Hartmann wavefront sensor measures wavefront slopes by analyzing the displacement of focal spots formed by a microlens array. Based on these slope measurements, wavefront reconstruction can be achieved by solving the difference equations that relate slope to phase. A wavefront reconstruction algorithm based on the region-growing method is proposed. Numerical simulations are conducted to compare its performance with the Southwell method for reconstructing various simulated wavefronts. The noise resistance of the algorithms was analyzed by introducing additive white Gaussian noise, and experimental results further validated the effectiveness of the proposed method. The findings indicate that the region-growing-based reconstruction algorithm achieves a lower Root-Mean-Square (RMS) error value compared to the Southwell method, with a computational time reduced to less than 2% of that required by the Southwell method. Moreover, under high-noise conditions, the proposed algorithm maintains superior accuracy and demonstrates strong robustness. It efficiently processes wavefront slope data, providing both theoretical and experimental support for enhancing wavefront reconstruction speed in adaptive optical systems.
SN  - 5 Articles Required
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 

@article{Li2026Applicatio,
  author = {Xiwen Li and Jingyuan Liang and Xizheng Ke},
  title = {Application of Region Growing Algorithm in Hartmann Wavefront Reconstruction},
  journal = {Optical Wireless Communication},
  year = {2026},
  volume = {1},
  number = {1},
  pages = {44-59},
  doi = {10.62762/OWC.2026.960227},
  url = {https://www.icck.org/article/abs/OWC.2026.960227},
  abstract = {The Shack-Hartmann wavefront sensor measures wavefront slopes by analyzing the displacement of focal spots formed by a microlens array. Based on these slope measurements, wavefront reconstruction can be achieved by solving the difference equations that relate slope to phase. A wavefront reconstruction algorithm based on the region-growing method is proposed. Numerical simulations are conducted to compare its performance with the Southwell method for reconstructing various simulated wavefronts. The noise resistance of the algorithms was analyzed by introducing additive white Gaussian noise, and experimental results further validated the effectiveness of the proposed method. The findings indicate that the region-growing-based reconstruction algorithm achieves a lower Root-Mean-Square (RMS) error value compared to the Southwell method, with a computational time reduced to less than 2\% of that required by the Southwell method. Moreover, under high-noise conditions, the proposed algorithm maintains superior accuracy and demonstrates strong robustness. It efficiently processes wavefront slope data, providing both theoretical and experimental support for enhancing wavefront reconstruction speed in adaptive optical systems.},
  keywords = {adaptive optics, wavefront reconstruction, region growing algorithm, shack-hartmann wavefront sensor},
  issn = {5 Articles Required},
  publisher = {Institute of Central Computation and Knowledge}
}