Fringe-Pattern Demodulation Using a Parametric Method Based on Differential Evolution

被引:0
|
作者
Jimenez, J. F. [1 ]
Cuevas, F. J. [2 ]
Sossa, J. H. [1 ]
Gomez, L. E. [1 ]
机构
[1] Ctr Invest Computac IPN, Unidad Profes Adolfo Lopez Mateos, Av Juan de Dios Batiz S-N & M Othon de Mendizabal, Mexico City 07738, DF, Mexico
[2] Ctr Invest Opt AC, Leon 37150, Mexico
来源
ADVANCES IN PATTERN RECOGNITION | 2010年 / 6256卷
关键词
Phase retrieval; Fringe analysis; Optical metrology; Differential Evolution; PHASE; RECOVERY;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A parametric method to carry out fringe pattern demodulation by means of Differential Evolution is presented. The phase is approximated by the parametric estimation of an nth-grade polynomial so that no further unwrapping is required. On the other hand, a different parametric function can be chosen according to the prior knowledge of the phase behavior. A differential evolution is codified with the parameters of the function that estimates the phase. The differential evolution evolves until a fitness average threshold is obtained. The method can demodulate noisy fringe patterns and even a one-image closed-fringe pattern successfully.
引用
收藏
页码:61 / +
页数:3
相关论文
共 50 条
  • [31] EEG source localization using differential evolution method
    Li, Y
    Li, HT
    He, RJ
    Rao, LY
    Wu, Q
    Xu, GZ
    Shen, XQ
    Yan, WL
    PROCEEDINGS OF THE 26TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, 2004, 26 : 1903 - 1906
  • [32] Correction of spurious phase sign in single closed-fringe demodulation using transformer based Swin-ResUnet
    Kuang, Yu
    Liu, Fengwei
    Liu, Yuanchao
    Chen, Xiaojun
    Wu, Yongqian
    Zhang, Rongzhu
    OPTICS AND LASER TECHNOLOGY, 2024, 168
  • [33] Opposition Differential Evolution Based Method for Text Summarization
    Abuobieda, Albaraa
    Salim, Naomie
    Kumar, Yogan Jaya
    Osman, Ahmed Hamza
    INTELLIGENT INFORMATION AND DATABASE SYSTEMS (ACIIDS 2013), PT I,, 2013, 7802 : 487 - 496
  • [34] Evaluation method based on neural network differential evolution
    Jiang Li
    Cluster Computing, 2019, 22 : 4869 - 4875
  • [35] Evaluation method based on neural network differential evolution
    Li, Jiang
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (02): : S4869 - S4875
  • [36] An oversampling method based on differential evolution and natural neighbors
    Wang, Xialin
    Li, Yanying
    Zhang, Jiaoni
    Zhang, Baoshuang
    Gong, Huanhuan
    APPLIED SOFT COMPUTING, 2023, 149
  • [37] Parameter estimation for chaotic systems with and without noise using differential evolution-based method
    Li Nian-Qiang
    Pan Wei
    Yan Lian-Shan
    Luo Bin
    Xu Ming-Feng
    Jiang Ning
    CHINESE PHYSICS B, 2011, 20 (06)
  • [38] Parameter estimation for chaotic systems with and without noise using differential evolution-based method
    李念强
    潘炜
    闫连山
    罗斌
    徐明峰
    江宁
    Chinese Physics B, 2011, (06) : 76 - 81
  • [39] Multidirectional total variation-based method for fringe pattern despeckling: application to the phase retrieval in digital speckle pattern interferometry
    Bahich, Mustapha
    Bailich, Mohammed
    OPTICAL ENGINEERING, 2021, 60 (01)
  • [40] Optimization of Microstrip Antenna Arrays Using the Differential Evolution Method
    Paulena, Gabriel P.
    Schlosser, Edson R.
    T Heckler, Marcos V.
    Da Silva, Liebert L.
    Vieira, Juner M.
    2021 SBMO/IEEE MTT-S INTERNATIONAL MICROWAVE AND OPTOELECTRONICS CONFERENCE (IMOC), 2021,