Three dimensional reconstruction of coherent structures using image processing techniques

1995 ◽  
Vol 19 (6) ◽  
pp. 432-434 ◽  
Author(s):  
E. L. Karn ◽  
G. B. Smith ◽  
T. Wei
Keyword(s):  
Image Processing ◽  
Coherent Structures ◽  
Three Dimensional ◽  
Three Dimensional Reconstruction ◽  
Image Processing Techniques ◽  
Dimensional Reconstruction ◽  
Processing Techniques

IDENTIFICATION OF COHERENT STRUCTURES IN THREE-DIMENSIONAL SIMULATIONS OF A FLUID-MIX PROBLEM

2009 ◽  
Vol 09 (03) ◽  
pp. 389-410 ◽  
Author(s):  
CHANDRIKA KAMATH ◽  
ABEL GEZAHEGNE ◽  
PAUL MILLER
Keyword(s):  
Image Processing ◽  
Coherent Structures ◽  
High Performance ◽  
Three Dimensional ◽  
Data Sets ◽  
Image Processing Techniques ◽  
Two Fluids ◽  
Split And Merge ◽  
Processing Techniques ◽  
Three Dimensional Simulations

The use of high-performance computers in computer simulations of physical phenomena has resulted in the generation of massive amounts of data. The analysis of these data can be challenging given their size and the complexity of the structures observed. In this paper, we describe how we can use image processing techniques to identify and count coherent structures in three-dimensional simulations of the Rayleigh-Taylor instability, which occurs when one fluid is being accelerated by a second fluid. As the two fluids mix, coherent structures are formed which grow, shrink, change shape, split, and merge with time. We describe the challenges faced in the analysis and show how we can combine image processing techniques with problem-specific characteristics to successfully analyze terabyte-sized data sets.

Three-Dimensional Structure of Rotavirus-Fab Complex

1990 ◽  
Vol 48 (1) ◽  
pp. 238-239
Author(s):  
B.V.V. Prasad ◽  
E. Marietta ◽  
J.W. Burns ◽  
M.K. Estes ◽  
W. Chiu
Keyword(s):  
Image Processing ◽  
Smooth Surface ◽  
Three Dimensional ◽  
Outer Shell ◽  
Dimensional Structure ◽  
Structural Studies ◽  
Cell Penetration ◽  
Electron Cryomicroscopy ◽  
Image Processing Techniques ◽  
Processing Techniques

Rotaviruses are spherical, double-shelled particles. They have been identified as a major cause of infantile gastroenteritis worldwide. In our earlier studies we determined the three-dimensional structures of double-and single-shelled simian rotavirus embedded in vitreous ice using electron cryomicroscopy and image processing techniques to a resolution of 40Å. A distinctive feature of the rotavirus structure is the presence of 132 large channels spanning across both the shells at all 5- and 6-coordinated positions of a T=13ℓ icosahedral lattice. The outer shell has 60 spikes emanating from its relatively smooth surface. The inner shell, in contrast, exhibits a bristly surface made of 260 morphological units at all local and strict 3-fold axes (Fig.l).The outer shell of rotavirus is made up of two proteins, VP4 and VP7. VP7, a glycoprotein and a neutralization antigen, is the major component. VP4 has been implicated in several important functions such as cell penetration, hemagglutination, neutralization and virulence. From our earlier studies we had proposed that the spikes correspond to VP4 and the rest of the surface is composed of VP7. Our recent structural studies, using the same techniques, with monoclonal antibodies specific to VP4 have established that surface spikes are made up of VP4.

Three-Dimensional Reconstruction of Bubble Distribution in Two-Phase Flows With Metaball Technique

2003 ◽  
Author(s):  
Toru Furukawa ◽  
Yassin A. Hassan ◽  
Javier Ortiz-Villafuerte
Keyword(s):  
Image Processing ◽  
Three Dimensional ◽  
Bubbly Flows ◽  
Reconstruction Method ◽  
Three Dimensional Reconstruction ◽  
Two Phase Flows ◽  
Two Phase ◽  
Real Experiment ◽  
Bubble Distribution ◽  
Dimensional Reconstruction

A three-dimensional reconstruction method using shadowgraphy for complex shaped bubbly flows is proposed. Bubble distribution is represented by a metaball object. Metaballs have the capability of representing smooth but complex surfaces. The fundamental strategy is searching the optimal metaball object equivalent to the original bubble distribution. The method does not assume that every bubble has a certain size or shape, therefore, intensive image processing on shadow images is not required. This method has applied to both synthetic bubble shadow images and those obtained from a real experiment, and the results indicate the potential ability of bubble reconstruction.

scholarly journals Three-dimensional mechanical parts reconstruction technology based on two-dimensional image

2020 ◽  
Vol 17 (2) ◽  
pp. 172988142091000
Author(s):  
Jiaofei Huo ◽  
Xiaomo Yu
Keyword(s):  
Image Processing ◽  
Stereo Vision ◽  
Stereo Matching ◽  
Vision System ◽  
Three Dimensional ◽  
Three Dimensional Reconstruction ◽  
Stereo Vision System ◽  
Binocular Stereo Vision ◽  
Extraction Algorithm ◽  
Dimensional Reconstruction

With the development of computer technology and three-dimensional reconstruction technology, three-dimensional reconstruction based on visual images has become one of the research hotspots in computer graphics. Three-dimensional reconstruction based on visual image can be divided into three-dimensional reconstruction based on single photo and video. As an indirect three-dimensional modeling technology, this method is widely used in the fields of film and television production, cultural relics restoration, mechanical manufacturing, and medical health. This article studies and designs a stereo vision system based on two-dimensional image modeling technology. The system can be divided into image processing, camera calibration, stereo matching, three-dimensional point reconstruction, and model reconstruction. In the part of image processing, common image processing methods, feature point extraction algorithm, and edge extraction algorithm are studied. On this basis, interactive local corner extraction algorithm and interactive local edge detection algorithm are proposed. It is found that the Harris algorithm can effectively remove the features of less information and easy to generate clustering phenomenon. At the same time, the method of limit constraints is used to match the feature points extracted from the image. This method has high matching accuracy and short time. The experimental research has achieved good matching results. Using the platform of binocular stereo vision system, each step in the process of three-dimensional reconstruction has achieved high accuracy, thus achieving the three-dimensional reconstruction of the target object. Finally, based on the research of three-dimensional reconstruction of mechanical parts and the designed binocular stereo vision system platform, the experimental results of edge detection, camera calibration, stereo matching, and three-dimensional model reconstruction in the process of three-dimensional reconstruction are obtained, and the full text is summarized, analyzed, and prospected.

Sign in / Sign up

Export Citation Format

Share Document