Background intensity removal in Fourier transform profilometry: A comparative study
We study the removal of the background intensity of fringe patterns via Empirical Mode Decomposition and the Hilbert Transform. Simulation results show that the latter provides a suitable background compensation with minimal error 3D-reconstruction. © OSA 2016.
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2016
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/8983
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/8983
- Palabra clave:
- Error compensation
Photonics
Profilometry
3D reconstruction
Background compensation
Comparative studies
Empirical mode decomposition
Fourier transform profilometry
Fringe pattern
Hilbert transform
Minimal errors
Mathematical transformations
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
| Summary: | We study the removal of the background intensity of fringe patterns via Empirical Mode Decomposition and the Hilbert Transform. Simulation results show that the latter provides a suitable background compensation with minimal error 3D-reconstruction. © OSA 2016. |
|---|