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 ch...

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Detalhes bibliográficos
Autores: Bernini, María Belén, Federico, Roque Alejandro, Kaufmann, Guillermo Hector
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2009
País:Argentina
Recursos:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositório:CONICET Digital (CONICET)
Idioma:inglês
OAI Identifier:oai:ri.conicet.gov.ar:11336/118480
Acesso em linha:http://hdl.handle.net/11336/118480
Access Level:Acceso aberto
Palavra-chave:SPEKLE
INTERFEROMETRY
EMPIRICAL MODE DECOMPOSITION
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
Descrição
Resumo: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 illumination 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.