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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
Large-Scale Multibaseline Phase Unwrapping: Interferogram Segmentation Based on Multibaseline Envelope-Sparsity Theorem
TL;DR: Both theoretical analysis and experimental results show that the proposed tiling strategy is effective for the LS MB PU problem, whereby each LS interferogram in the input MB InSAR data set is partitioned into a set of several smaller sub-interferograms that can be unwrapped individually by TSPA in parallel or in series.
Journal ArticleDOI
Convex optimization-based windowed Fourier filtering with multiple windows for wrapped-phase denoising
Kohei Yatabe,Yasuhiro Oikawa +1 more
TL;DR: The proposed extension of WFF for denoising a wrapped-phase map is formulated as a convex optimization problem using Gabor frames instead of WFT, and a differential operator is combined with a Gabor frame in order to preserve discontinuity of the underlying phase map better.
Journal ArticleDOI
A Closed-Form Robust Cluster-Analysis-Based Multibaseline InSAR Phase Unwrapping and Filtering Algorithm With Optimal Baseline Combination Analysis
TL;DR: A novel CA-based MBPU and filtering (MBPUF) algorithm that is capable of solving the phase-discontinuity problem and improving the height-reconstruction accuracy simultaneously, and utilizes the optimal baseline combination to improve the robustness of the CA- based MBPU algorithm is proposed.
Journal ArticleDOI
Multiwavelength depth encoding method for 3D range geometry compression.
Tyler Bell,Song Zhang +1 more
TL;DR: This paper presents a novel method for representing three-dimensional (3D) range data within regular two-dimensional images using multiwavelength encoding that enables extremely high compression ratios while maintaining a very low reconstruction error percentage.
Journal ArticleDOI
Automated Cell Segmentation for Quantitative Phase Microscopy
Nathan O. Loewke,Sunil Pai,Christine Cordeiro,Dylan S. Black,Bonnie L. King,Christopher H. Contag,Bertha Chen,Thomas M. Baer,Olav Solgaard +8 more
TL;DR: A fully automated segmentation algorithm that iteratively segments cells based on the observed distribution of optical cell volumes measured by quantitative phase microscopy, which is able to converge on volumetric thresholds that enable valid segmentation cuts.
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.
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.
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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.