María B. Bernini
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
María B. Bernini has a total of 2 co-authors. Here are the top co-authors by number of shared publications:
Alejandro Federico
Electrónica e Informática, Instituto Nacional de Tecnología Industrial, P.O. Box B1650WAB, B1650KNA San Martín, Argentina
1 shared publicationGuillermo H. Kaufmann
Instituto de Física Rosario, Boulevard 27 de Febrero 210 bis, S2000EZP Rosario, Argentina
1 shared publication
Latest Publications
- 10 December 2009
- Published by Optica Publishing Group in Applied Optics
- Vol. 48 (36) , 6862-6869
Normalization of fringe patterns using the bidimensional empirical mode decomposition and the Hilbert transform
We evaluate a data-driven technique to perform bias suppression and modulation normalization of fringe patterns. The proposed technique uses a bidimensional empirical mode decomposition method to decompose a fringe pattern in a set of intrinsic frequency modes and the partial Hilbert transform to characterize the local amplitude of the modes in order to perform the normalization. The performance of the technique is tested using computer simulated fringe patterns of different fringe densities and illu mination defects with high local variations of the modulation, and its advantages and limitations are discussed. Finally, the performance of the normalization approach in processing real data is also illustrated.
- 10 December 2009
- Published by Optica Publishing Group in Applied Optics
- Vol. 48 (36) , 6862-6869
Normalization of fringe patterns using the bidimensional empirical mode decomposition and the Hilbert transform
We evaluate a data-driven technique to perform bias suppression and modulation normalization of fringe patterns. The proposed technique uses a bidimensional empirical mode decomposition method to decompose a fringe pattern in a set of intrinsic frequency modes and the partial Hilbert transform to characterize the local amplitude of the modes in order to perform the normalization. The performance of the technique is tested using computer simulated fringe patterns of different fringe densities and illu mination defects with high local variations of the modulation, and its advantages and limitations are discussed. Finally, the performance of the normalization approach in processing real data is also illustrated.