Título
Fringe pattern denoising using spatial oriented gaussian filters
Autor
JOSE ISMAEL DE LA ROSA VARGAS
José de Jesús Villa Hernández
Nivel de Acceso
Acceso Abierto
Resumen o descripción
In this paper, it is proposed a gaussian convolution-based fringe pattern denoising method. As will be shown, this method is robust enough compared with some of the most outstanding methods in the literature. Additionally, the proposed method overcomes the problem of underperformance in low-frequency fringes that is common in most oriented filtering methods, while keeping the great advantages of convolution-based filters. The advantages of the proposed denoising method will be demonstrated with experiments realized over synthetic and real fringe patterns, and comparing the performance with four representative methods, already reported.
Producción Científica de la Universidad Autónoma de Zacatecas UAZ
Fecha de publicación
febrero de 2020
Tipo de publicación
Artículo
Recurso de información
Formato
application/pdf
Idioma
Inglés
Audiencia
Público en general
Repositorio Orígen
Repositorio Institucional Caxcán
Descargas
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