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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
Phase Unwrapping Based on Multiple Population Genetic and Simulated Annealing Algorithm
TL;DR: The proposed algorithm uses the multiple population genetic and simulated annealing algorithm to calculate optimized match of residues, which effectively reduces the total length of the branch-cuts and avoids the large ‘isolated island’ phenomenon.
Proceedings ArticleDOI
Novel 4D Whole Body Scanning Solution and its Medical Application
TL;DR: The presented 4D scanning solution was originally designed for a 4D human body shape measurement to support medical rehabilitation monitoring, however it is not restricted to this application and was tested in a real-life environment.
Proceedings ArticleDOI
A multiple wavelength unwrapping algorithm for digital fringe profilometry based on spatial shift estimation
TL;DR: A new approach is presented for solving the problem of spatial shift wrapping associated with Spatial Shift Estimation (SSE)-based Fringe Pattern Profilometry (FPP), inspired by the existing ideas of using multiple images with different wavelengths proposed for phase unwrapping.
Proceedings ArticleDOI
Gabor feature based discriminative dictionary learning for period order detection in fringe projection profilometry
B. Budianto,Daniel P. K. Lun +1 more
TL;DR: Experimental results show that the proposed method can achieve an accurate 3D reconstruction of objects' model in various adverse conditions where traditional FPP methods often fail to perform.
Journal ArticleDOI
Consideration on Singular-Point Generating Mechanisms by Analyzing the Effect of Phase-and-Polarization Optimization in PolInSAR
TL;DR: It is found that probabilistic/random scattering is the main origin of SP generation, and the optimization reduces randomness in the polarimetric features, and enhances the features specific to deterministic scattering such as surface and double-bounce scattering.
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.