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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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Journal ArticleDOI
PhaseNet: A Deep Convolutional Neural Network for Two-Dimensional Phase Unwrapping
TL;DR: The results obtained highlight that deep convolutional neural network can indeed be effectively applied for phase unwrapping, and the proposed framework will hopefully pave the way for the development of a new set of deep learning based phase unwrap methods.
Journal ArticleDOI
Status, challenges, and future perspectives of fringe projection profilometry
Jing Xu,Song Zhang +1 more
TL;DR: The current status of FPP techniques, the major challenges still facing in the field, and the perspectives on the future of F PP techniques are presented.
Journal ArticleDOI
Structured illumination microscopy
TL;DR: This review describes various structured illumination methods in optical microscopy and explains the principles and technologies involved therein.
Journal ArticleDOI
An illustrated comparison of processing methods for MR phase imaging and QSM: combining array coil signals and phase unwrapping.
Simon Robinson,Kristian Bredies,Diana Khabipova,Diana Khabipova,Barbara Dymerska,José P. Marques,José P. Marques,Ferdinand Schweser +7 more
TL;DR: Phase imaging benefits from strong susceptibility effects at very high field and the high signal‐to‐noise ratio (SNR) afforded by multi‐channel coils, but alternative approaches are required for ultra‐high field systems in which no such coil is available.
PatentDOI
Absolute three-dimensional shape measurement using coded fringe patterns without phase unwrapping or projector calibration
TL;DR: A novel stereo-phase-based absolute three-dimensional shape measurement that requires neither phase unwrapping nor projector calibration is presented and could achieve high-quality 3D measurement even with extremely low-quality fringe patterns.
References
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Journal ArticleDOI
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.
Journal ArticleDOI
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.
Journal ArticleDOI
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.
Journal ArticleDOI
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.
Journal ArticleDOI
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.