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Two Dimensional Phase Unwrapping Theory Algorithms And Software
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Two-dimensional phase unwrapping algorithms applied to feminist theory crime and social justice theoretical conscience volume 4 dr-caloriez henry and the paper route cafebr chapter 3 what is money mishkin cafebr.Abstract:
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Citations
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Proceedings ArticleDOI
3-D surface morphology measurement of plasma-facing materials using laser speckle interferometry in presence of periodic vibration
TL;DR: In this article, the effects of amplitude and frequency of periodic vibration on surface morphology measurements based on LSI measurement system were investigated. But, this approach is sensitive to vibrations, which decreases the accuracy of morphology measurement.
Proceedings ArticleDOI
Proposal of singular-point-removing filters with strong nonlinearity in spectral domain
Kazuhide Ichikawa,Akira Hirose +1 more
TL;DR: Two novel filtering techniques are proposed which both exhibit strong nonlinearity and are so effective in the removal of the distortion at the SU, that it allows us to generate a highly accurate DEM.
Interferogram decodification on Nios II soft-core
Carlos Alberto Ramos López,Abimael Jiménez Pérez,Ángel Sauceda Carvajal,José Antonio Muñoz Gómez,Marco Antonio Gurrola Navarro,José Mireles Jr. García +5 more
TL;DR: The implementation of an interferogram decoding system based on a Nios II embedded microprocessor with phase unwrapping solution implemented with the minimum norm method and the SoPC architecture developed with C and Verilog languages is described.
Proceedings ArticleDOI
Defect detection of electronic circuit using digital holographic interferometry
TL;DR: In this article, the authors have implemented a digital holographic interferometry for inspection of defect in an electronic circuit using the hologram reconstruction, two dimensional Goldstein phase unwrapping method, Abel inversion and Lorentz-Lorentz equation.
Proceedings ArticleDOI
Dynamic photothermal interferometric phase microscopy
TL;DR: For the first time, video-rate photothermal signals are obtained, which forms the basis for real-time interferometric phase microscopy with molecular specificity, and holds great potential for using photothermal imaging in flow cytometry.
References
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Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker.
Yi Wang,Tian-Yu Liu +1 more
TL;DR: This paper attempts to summarize the basic physical concepts and essential algorithmic steps in QSM, to describe clinical and technical issues under active development, and to provide references, codes, and testing data for readers interested inQSM.
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Temporal phase unwrapping algorithms for fringe projection profilometry: A comparative review
TL;DR: The results show that the multi-frequency temporal phase unwrapping provides the best unwrapped reliability, while the multi -wavelength approach is the most susceptible to noise-induced unwrappers errors.
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High-speed 3D shape measurement with structured light methods: A review
TL;DR: The fundamental principles behind the primary state-of-the-art 3D shape measurement techniques based on structured light methods will be elucidated, experimental results will be presented to demonstrate capabilities and/or limitations for those popular techniques, and perspectives on those remaining challenges to be conquered to make advanced 3Dshape measurement techniques ubiquitous are presented.
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Quantitative susceptibility mapping: current status and future directions.
E. Mark Haacke,E. Mark Haacke,E. Mark Haacke,Saifeng Liu,Sagar Buch,Weili Zheng,Dongmei Wu,Yongquan Ye +7 more
TL;DR: This review evaluates the entire process of QSM from data acquisition to individual data processing steps and concludes that QSM holds great promise in quantifying iron and becoming a standard clinical tool.
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Diffraction phase microscopy: principles and applications in materials and life sciences
Basanta Bhaduri,Chris Edwards,Hoa V. Pham,Renjie Zhou,Tan H. Nguyen,Lynford L. Goddard,Gabriel Popescu +6 more
TL;DR: In this article, the authors present a diffraction phase microscopy (DPM) system, which is a common-path quantitative phase imaging (QPI) method that significantly alleviates the noise problem.