Enhanced Frequency-Guided Method with Particle Swarm Optimization for the Phase Recovery of a Single Interferogram

被引:0
|
作者
Quintanar-Sotelo, Christian O.
Casillas-Rodriguez, Francisco J. [1 ]
Munoz-Maciel, Jesus [1 ]
Pena-Lecona, Francisco G. [1 ]
Mora-Gonzalez, Miguel [1 ]
机构
[1] Univ Guadalajara, Ctr Univ Lagos, Ave Enrique Diaz de Leon 1144, Lagos De Moreno 47460, Jalisco, Mexico
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 21期
关键词
PSO; HSO; FSD; optical demodulation; wrapped phase; DEMODULATION;
D O I
10.3390/app132111969
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Featured Application The methods described here can be applied in interferometric measurements of dynamic events that are challenging to analyze using conventional approaches incapable of evaluating a single interferogram with closed fringes.Abstract Frequency-guided sequential demodulation (FSD) is a technique used to recover the phase of closed fringe patterns when only a single interferogram is available. FSD is a sequential method that follows simple and intuitive processing steps for interferogram demodulation, guided by the frequency of the fringes. The objective of this work is to apply an optimizer block that feeds from the first stages of the FSD and make feedback in such a manner as to optimize the search for guided frequencies. This approach significantly reduces demodulation errors, especially when dealing with high-frequency fringe patterns. The results of using the FSD with and without optimizers are compared. The optimizers used are the Harmonic Search Optimization (HSO) as well as the Particle Swarm Optimization (PSO). Results show that FSD with PSO delivers better results compared with other methods here analyzed.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] A Diversity Guided Particle Swarm Optimization with Chaotic Mutation
    Yang, Yanping
    Che, Yonghe
    2010 2ND INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (CAR 2010), VOL 2, 2010, : 294 - 297
  • [32] Adaptive particle swarm optimization guided by acceleration information
    Zeng, Jianchao
    Jie, Jing
    Hu, Jianxiu
    2006 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY, PTS 1 AND 2, PROCEEDINGS, 2006, : 351 - 355
  • [33] A Diversity-Guided Hybrid Particle Swarm Optimization
    Han, Fei
    Liu, Qing
    EMERGING INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, 2012, 304 : 461 - 466
  • [34] A New Diversity Guided Particle Swarm Optimization with Mutation
    Thangaraj, Radha
    Pant, Millie
    Abraham, Ajith
    2009 WORLD CONGRESS ON NATURE & BIOLOGICALLY INSPIRED COMPUTING (NABIC 2009), 2009, : 293 - +
  • [35] Intelligent single particle optimization and particle swarm optimization fusion algorithm
    Li, Peiwu
    Zhao, Jia
    International Journal of Applied Mathematics and Statistics, 2013, 45 (15): : 395 - 403
  • [36] Quantum inspired Particle Swarm Optimization with guided exploration for function optimization
    Agrawal, R. K.
    Kaur, Baljeet
    Agarwal, Parul
    APPLIED SOFT COMPUTING, 2021, 102
  • [37] An enhanced particle swarm optimization with levy flight for global optimization
    Jensi, R.
    Jiji, G. Wiselin
    APPLIED SOFT COMPUTING, 2016, 43 : 248 - 261
  • [38] An Enhanced Partial Search to Particle Swarm Optimization for Unconstrained Optimization
    Fan, Shu-Kai S.
    Jen, Chih-Hung
    MATHEMATICS, 2019, 7 (04)
  • [39] An enhanced binary particle swarm optimization for structural topology optimization
    Tseng, K-Y
    Zhang, C-B
    Wu, C-Y
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2010, 224 (C10) : 2271 - 2287
  • [40] Frequency-guided Dual Sparse Self-Attention Algorithm for Single Image Deraining
    Wen Y.-B.
    Gao T.
    Chen T.
    Zhang Q.-X.
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2023, 51 (10): : 2812 - 2820