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Overview of anisotropic filtering methods based on partial differential equations for electronic speckle pattern interferometry |
Applied Optics, Vol. 51, Issue 20, pp. 4916-4926 (2012)
http://dx.doi.org/10.1364/AO.51.004916
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Abstract
In this paper, we first present the general description for partial differential equations (PDEs) based image processing methods, including the basic idea, the main advantages and disadvantages, a few representative PDE models, and the derivation of PDE models. Then we review our contributions on PDE-based anisotropic filtering methods for electronic speckle pattern interferometry, including the second-order, fourth-order, and coupled nonoriented PDE filtering models and the second-order and coupled nonlinear oriented PDE filtering models. We have summarized the features of each model.
© 2012 Optical Society of America
OCIS Codes
(100.2650) Image processing : Fringe analysis
(110.6150) Imaging systems : Speckle imaging
(120.6160) Instrumentation, measurement, and metrology : Speckle interferometry
ToC Category:
Image Processing
History
Original Manuscript: November 16, 2011
Revised Manuscript: May 22, 2012
Manuscript Accepted: May 28, 2012
Published: July 10, 2012
Citation
Chen Tang, Linlin Wang, and Haiqing Yan, "Overview of anisotropic filtering methods based on partial differential equations for electronic speckle pattern interferometry," Appl. Opt. 51, 4916-4926 (2012)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-51-20-4916
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