New fourth-order partial differential equations for filtering in electronic speckle pattern interferometry fringes

被引:31
作者
Cheng, Liyan [1 ]
Tang, Chen [1 ]
Yan, Si [2 ]
Chen, Xia [1 ]
Wang, Linlin [1 ]
Wang, Bo [1 ]
机构
[1] Tianjin Univ, Dept Appl Phys, Tianjin 300072, Peoples R China
[2] Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China
关键词
PDEs-based filtering methods; Electronic speckle pattern interferometry; fringe patterns; Fringe analysis; The variational methods; NONLINEAR DIFFUSION; EDGE-DETECTION; PHASE; RECOVERY;
D O I
10.1016/j.optcom.2011.07.082
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Partial differential equations (PDEs) based methods have been demonstrated to be a powerful tool for filtering in electronic speckle pattern interferometry fringe or wrapped phase patterns. In this paper, we derive the new fourth-order partial differential equations (NFOPDE) with a better performance for filtering in electronic speckle pattern interferometry fringe patterns based on the variational methods. We test the proposed models on two computer-simulated speckle fringe patterns and an experimentally obtained fringe pattern, respectively, and compare our models with the widely used, well-known the second-order selective degenerate diffusion PDE model (SOSDPDE) and the published fourth-order PDE model (PFOPDE). The proposed NFOPDE can overcome the shortages that both the SOSDPDE and PFOPDE encounter. In all cases, our NFOPDE outperforms SOSDPDE and PFOPDE. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:5549 / 5555
页数:7
相关论文
共 20 条
[1]   A simple and effective method for filtering speckle-interferometric phase fringe patterns [J].
Aebischer, HA ;
Waldner, S .
OPTICS COMMUNICATIONS, 1999, 162 (4-6) :205-210
[2]   IMAGE SELECTIVE SMOOTHING AND EDGE-DETECTION BY NONLINEAR DIFFUSION .2. [J].
ALVAREZ, L ;
LIONS, PL ;
MOREL, JM .
SIAM JOURNAL ON NUMERICAL ANALYSIS, 1992, 29 (03) :845-866
[3]  
ASLAN M, 2000, 9966766 UMI
[4]   Smoothing and edge detection by time-varying coupled nonlinear diffusion equations [J].
Chen, Y ;
Barcelos, CAS ;
Mair, BA .
COMPUTER VISION AND IMAGE UNDERSTANDING, 2001, 82 (02) :85-100
[5]   Image denoising and segmentation via nonlinear diffusion [J].
Chen, YM ;
Vemuri, BC ;
Wang, L .
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2000, 39 (5-6) :131-149
[6]   A parametric method applied to phase recovery from a fringe pattern based on a genetic algorithm [J].
Cuevas, FJ ;
Sossa-Azuela, JH ;
Servin, M .
OPTICS COMMUNICATIONS, 2002, 203 (3-6) :213-223
[7]   Multi-layer neural network applied to phase and depth recovery from fringe patterns [J].
Cuevas, FJ ;
Servin, M ;
Stavroudis, ON ;
Rodriguez-Vera, R .
OPTICS COMMUNICATIONS, 2000, 181 (4-6) :239-259
[8]   Phase-shifting algorithms for electronic speckle pattern interferometry [J].
Kao, CC ;
Yeh, GB ;
Lee, SS ;
Lee, CK ;
Yang, CS ;
Wu, KC .
APPLIED OPTICS, 2002, 41 (01) :46-54
[9]   EXTRACTION OF PHASE DATA FROM ELECTRONIC SPECKLE PATTERN INTERFEROMETRIC FRINGES USING A SINGLE-PHASE-STEP METHOD - A NOVEL-APPROACH [J].
KERR, D ;
SANTOYO, FM ;
TYRER, JR .
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 1990, 7 (05) :820-826
[10]   Contrast enhancement of electronic speckle pattern interferometry addition fringes [J].
Ochoa, NA ;
Santoyo, FM ;
Moore, AJ ;
Lopez, CP .
APPLIED OPTICS, 1997, 36 (13) :2783-2787