Perception of steady velocity field produced by cyclic display of multi-phase images

2008 ◽  
Author(s):  
Bohui Wang ◽  
Masanori Idesawa ◽  
Qin Wang
Keyword(s):  
Velocity Field ◽  
Phase Images ◽  
Multi Phase ◽  
Steady Velocity

Characterization of Multi-Phase and Multi-Component Polymer Systems Using the Atomic Force Microscope

1999 ◽  
Vol 5 (S2) ◽  
pp. 962-963
Author(s):  
M. VanLandingham ◽  
X. Gu ◽  
D. Raghavan ◽  
T. Nguyen
Keyword(s):  
Energy Dissipation ◽  
Atomic Force Microscope ◽  
Mechanical Response ◽  
Sample Surface ◽  
Phase Changes ◽  
Phase Imaging ◽  
Polymer Systems ◽  
Atomic Force ◽  
Phase Images ◽  
Multi Phase

Recent advances have been made on two fronts regarding the capability of the atomic force microscope (AFM) to characterize the mechanical response of polymers. Phase imaging with the AFM has emerged as a powerful technique, providing contrast enhancement of topographic features in some cases and, in other cases, revealing heterogeneities in the polymer microstructure that are not apparent from the topographic image. The enhanced contrast provided by phase images often allows for identification of different material constituents. However, while the phase changes of the oscillating probe are associated with energy dissipation between the probe tip and the sample surface, the relationship between this energy dissipation and the sample properties is not well understood.As the popularity of phase imaging has grown, the capability of the AFM to measure nanoscale indentation response of polymers has also been explored. Both techniques are ideal for the evaluation of multi-phase and multi-component polymer systems.

scholarly journals REVIEW OF RECENT RESULTS ON EXCURSION SET MODELS

2011 ◽  
Vol 20 (2) ◽  
pp. 71 ◽  
Author(s):  
Richard J Wilson ◽  
David J Nott
Keyword(s):  
Boolean Model ◽  
Connected Components ◽  
Random Set ◽  
Binary Images ◽  
Excursion Sets ◽  
Alternative Approach ◽  
Desirable Feature ◽  
Phase Images ◽  
Excursion Set ◽  
Multi Phase

Many images consist of two or more "phases", where a phase is a collection of homogeneous zones. For example, the phases may represent the presence of different sulphides in an ore sample. Frequently, these phases exhibit very little structure, though all connected components of a given phase may be similar in some sense. As a consequence, random set models are commonly used to model such images. The Boolean model and models derived from the Boolean model are often chosen. An alternative approach to modelling such images is to use the excursion sets of random fields to model each phase. In this paper, the properties of excursion sets will be firstly discussed in terms of modelling binary images. Ways of extending these models to multi-phase images will then be explored. A desirable feature of any model is to be able to fit it to data reasonably well. Different methods for fitting random set models based on excursion sets will be presented and some of the difficulties with these methods will be discussed.

scholarly journals Real-Time Artifact Compensation for Depth Images of Multi-Frequency ToF

2019 ◽  
Vol 37 (1) ◽  
pp. 152-159
Author(s):  
Sen Wang ◽  
Runxiao Wang ◽  
Xinxin Zuo ◽  
Weiwei Yu
Keyword(s):  
Real Time ◽  
Motion Compensation ◽  
Kernel Density ◽  
Superior Performance ◽  
Phase Image ◽  
Dynamic Scenes ◽  
Kernel Density Estimate ◽  
Depth Images ◽  
Phase Images ◽  
Multi Phase

During the last few years, Time-of-Flight(TOF) sensor achieved a significant impact onto research and industrial fields due to that it can capture depth easily. For dynamic scenes and phase fusion, ToF sensor's working principles can lead to significant artifacts, therefore an efficient method to combine motion compensation and kernel density estimate multi-frequency unwrapping is proposed. Firstly, the raw multi-phase images are captured, then calculate the optical flow between each frequency. Secondly, by generating multiple depth hypotheses, uses a spatial kernel density estimation is used to rank them with wrapped phase images. Finally, the accurate depth from fused phase image is gotten. The algorithm on Kinect V2 is validated and the pixel-wise part is optimized using GPU. The method shows its real time superior performance on real datasets.

An experimental investigation of low Reynolds number secondary streaming effects associated with an oscillating viscous flow in a curved pipe

1975 ◽  
Vol 70 (3) ◽  
pp. 519-527 ◽  
Author(s):  
Arnold F. Bertelsen
Keyword(s):  
Experimental Investigation ◽  
Reynolds Number ◽  
Velocity Field ◽  
Viscous Flow ◽  
Reynolds Numbers ◽  
Experimental Results ◽  
Cross Sectional ◽  
Curved Pipe ◽  
Sectional Plane ◽  
Steady Velocity

This paper deals with nonlinear streaming effects in an oscillating fluid in a curved pipe. The secondary steady velocity field in the cross-sectional plane of the pipe is studied in detail. Our experimental results are compared with the theory of Lyne (1970; that part of his theory which is valid for Reynolds numbers Rs [Lt ] 1) and the theory of Zalosh & Nelson (1973). On the basis of these comparisons we conclude that the theories are in practice valid for higher Reynolds numbers Rs than was formally expected.

Subharmonic dynamo action of fluid motions with two-dimensional periodicity

1995 ◽  
Vol 448 (1933) ◽  
pp. 237-244 ◽  
Keyword(s):  
Magnetic Field ◽  
Velocity Field ◽  
Velocity Fields ◽  
Two Dimensional ◽  
Dynamo Action ◽  
Spatial Periodicity ◽  
The Magnetic Field ◽  
Steady Velocity

Kinematic dynamos based on steady velocity fields with two-dimensional periodicity are analysed numerically. The velocity fields of the study by G. O. Roberts (1972) are used and the analysis is extended to the case when the spatial periodicity of the magnetic field differs from that of the velocity field not only in the homogeneous third direction. While the solutions of Roberts correspond to the most efficient dynamos in most cases, there are some cases in which spatially subharmonic dynamos are preferred.

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