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Please use this identifier to cite or link to this item:
http://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1726
Title: | Fringe pattern denoising using spatial oriented gaussian filters |
Authors: | Villa Hernández, José de Jesús González Ramírez, Efrén Moreon, Gamaliel De la Rosa Vargas, José Ismael Flores, Jorge Luís Alaniz Lumbreras, Daniel |
Issue Date: | Feb-2020 |
Publisher: | Elsevier |
Abstract: | 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. |
URI: | http://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1726 https://doi.org/10.48779/6rxw-g822 |
ISSN: | 0030-4018 |
Other Identifiers: | info:eu-repo/semantics/publishedVersion |
Appears in Collections: | *Documentos Académicos*-- M. en Ciencias del Proc. de la Info. |
Files in This Item:
File | Description | Size | Format | |
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30_Villa_DelaRosa OptComm P1 2020.pdf | Villa_DelaRosa OptComm 2020 | 890,6 kB | Adobe PDF | View/Open |
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