Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/102953
Title: Application of EMD in fringe analysis: new developments
Authors: Wang, Chenxing
Kemao, Qian
Da, Feipeng
Gai, Shaoyan
Keywords: Mode Mixing Problem
Empirical Mode Decomposition
DRNTU::Engineering::Computer science and engineering
Issue Date: 2017
Source: Wang, C., Kemao, Q., Da, F., & Gai, S. (2017). Application of EMD in fringe analysis: new developments. International Conference on Optical and Photonics Engineering (icOPEN 2016), 10250, 1025019-. doi:10.1117/12.2266700
Abstract: Empirical mode decomposition (EMD) based methods have been widely used in fringe pattern analysis, including denoising, detrending, normalization, etc. The common problem of using EMD and Bi-dimensional EMD is the mode mixing problem, which is generally caused by uneven distribution of extrema. In recent years, we have proposed some algorithms to solve the mode mixing problem and further applied these methods in fringe analysis. In this paper, we introduce the development of these methods and show the successful results of two most recent algorithms.
URI: https://hdl.handle.net/10356/102953
http://hdl.handle.net/10220/47270
DOI: 10.1117/12.2266700
Rights: © 2017 Society of Photo-optical Instrumentation Engineers (SPIE). This paper was published in International Conference on Optical and Photonics Engineering (icOPEN 2016) and is made available as an electronic reprint (preprint) with permission of Society of Photo-optical Instrumentation Engineers (SPIE). The published version is available at: [http://dx.doi.org/10.1117/12.2266700]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Conference Papers

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