Conveyor Belt X-ray CT Using Domain Constrained Discrete Tomography

2014 ◽  
Author(s):  
Luis F. Alves Pereira ◽  
Andrei Dabravolski ◽  
Ing Ren Tsang ◽  
George D. C. Cavalcanti ◽  
Jan Sijbers
Keyword(s):  
Conveyor Belt ◽  
Discrete Tomography ◽  
X Ray

Process Control Applications of the Peltier Cooled SI (LI) Detector Based EDXRF Spectrometer

1988 ◽  
Vol 32 ◽  
pp. 31-37
Author(s):  
Anthony R. Harding
Keyword(s):  
Process Control ◽  
Silicon Crystal ◽  
Conveyor Belt ◽  
Cryogenic Liquid ◽  
Active Species ◽  
Peltier Effect ◽  
Production Plant ◽  
Plating Bath ◽  
X Ray ◽  
On Line

AbstractThe demand for on-line analyzers capable of compositional determinations in petroleum and chemical process streams has increased dramatically in recent years. Total control of production plant processes and resources requires the analysis of feed, intermediate, and product materials. This paper will describe a rugged, on-stream energy dispersive X-ray fluorescence (EDXRF) analyzer configured for the continuous determination of composition in solid and liquid samples. The detector in the X-ray sensor is a lithium-drifted silicon crystal which is thermoelectrically cooled (Peltier effect) to achieve operational temperatures. This approach to detector cooling offers advantages over traditional cryogenic liquid cooling when EDXRF is used in the process control environment.Three applications of the thermoelectrically-cooled detector-based EDXRF spectrometer will be presented here. The first is the analysis of a catalyst solution to monitor depletion of the active species. Second, two components of a plating bath solution will be determined simultaneously in a flowing sample stream. In the third application, the spectrometer will be oriented in a downward looking configuration to monitor inorganic constituents in absorbent samples as they are transported by conveyor belt to the X-ray measurement area.

A modified discrete tomography for improving the reconstruction of unknown multi-gray-level material in the `missing wedge' situation

2018 ◽  
Vol 25 (6) ◽  
pp. 1847-1859 ◽  
Author(s):  
Jianhong Liu ◽  
Zhiting Liang ◽  
Yong Guan ◽  
Wenbin Wei ◽  
Haobo Bai ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Iteration Process ◽  
Reconstruction Technique ◽  
Morphological Operations ◽  
Algebraic Reconstruction Technique ◽  
Discrete Tomography ◽  
Boundary Extraction ◽  
X Ray ◽  
Dimensional Reconstruction

Full angular rotational projections cannot always be acquired in tomographic reconstructions because of the limited space in the experimental setup, leading to the `missing wedge' situation. In this paper, a recovering `missing wedge' discrete algebraic reconstruction technique algorithm (rmwDART) has been proposed to solve the `missing wedge' problem and improve the quality of the three-dimensional reconstruction without prior knowledge of the material component's number or the material's values. By using oversegmentation, boundary extraction and mathematical morphological operations, `missing wedge' artifact areas can be located. Then, in the iteration process, by updating the located areas and regions, high-quality reconstructions can be obtained from the simulations, and the reconstructed images based on the rmwDART algorithm can be obtained from soft X-ray nano-computed tomography experiments. The results showed that there is the potential for discrete tomography.

Study on Mechanical Automation with X-Ray Power Conveyor Belt Nondestructive Detection System Design

2013 ◽  
Vol 738 ◽  
pp. 256-259
Author(s):  
Yu Duo Wang
Keyword(s):  
System Design ◽  
Detection System ◽  
Cost Effective ◽  
Conveyor Belt ◽  
Safe Operation ◽  
Nondestructive Detection ◽  
X Ray ◽  
Fpga Chip ◽  
Design Requirements ◽  
Hardware Circuit

In order to real-time automation detection of conveyor belt running status, found the mechanical fault in time and processing, to ensure mechanical automation reliable and safe operation, to avoid major accidents. This paper designed a kind of X-ray power conveyor belt nondestructive detection system of the detector, Proposed design scheme based on FPGA + ARM detector; Adopts Xilinx companys cost-effective FPGA chip Spartan-3E and Samsung launched using 32-bit RISC microprocessor of ARM chips S3C2440A, Design the hardware circuit of detector; And has carried on the experiment and debugging, has reached the design requirements.

Optimization of a CZT photon counting detector for contaminant detection

2021 ◽  
Vol 16 (11) ◽  
pp. P11015
Author(s):  
J. Nguyen ◽  
P.-A. Rodesch ◽  
D. Richtsmeier ◽  
K. Iniewski ◽  
M. Bazalova-Carter
Keyword(s):  
Food Industry ◽  
Photon Counting ◽  
Conveyor Belt ◽  
Weighting Scheme ◽  
X Ray ◽  
Photon Counting Detector ◽  
Inspection Systems ◽  
Photon Counting Detectors ◽  
High Level ◽  
Packaged Food

Abstract In the food industry, X-ray inspection systems are utilized to ensure packaged food is free from physical contaminants to maintain a high level of food safety for consumers. However, one of the challenges in the food industry is detecting small, low-density contaminants from packaged food. Cadmium zinc telluride (CZT) photon counting detectors (PCDs) can potentially alleviate this problem given its multi-energy bin capabilities, high spatial resolution and ability to eliminate electronic noise, which is superior to the conventional energy integrating detector (EID). However, the image quality from a CZT PCD can be further improved by applying an optimized energy bin weighting scheme that maximizes energy bin images that provide the largest image contrast and lowest image noise. Therefore, in this work, five contaminant materials embedded in an acrylic phantom were imaged using a CZT PCD while the phantom was in constant motion to mimic food products moving on a conveyor belt. Energy bin optimization was performed by applying an image-based weighting scheme and these results showed contrast-to-noise ratio (CNR) improvements ranging between 1.02–1.91 relative to an equivalent EID acquisition.

scholarly journals Research of X-ray Nondestructive Detection System for High-speed running Conveyor Belt with Steel Wire Ropes

2007 ◽  
Vol 1 (3) ◽  
Author(s):  
Junfeng Wang ◽  
Changyun Miao ◽  
Yue Cui ◽  
Wei Wang ◽  
Lei Zhou
Keyword(s):  
High Speed ◽  
Detection System ◽  
Steel Wire ◽  
Conveyor Belt ◽  
Nondestructive Detection ◽  
X Ray ◽  
Wire Ropes

Numerical methods in tomography

Acta Numerica ◽  
1999 ◽  
Vol 8 ◽  
pp. 107-141 ◽  
Author(s):  
Frank Natterer
Keyword(s):  
Magnetic Resonance Imaging ◽  
Incomplete Data ◽  
Near Infrared ◽  
Infrared Imaging ◽  
Reconstruction Algorithms ◽  
Resonance Imaging ◽  
Discrete Tomography ◽  
X Ray ◽  
Local Tomography ◽  
Image Reconstruction Algorithms

In this article we review the image reconstruction algorithms used in tomography. We restrict ourselves to the standard problems in the reconstruction of function from line or plane integrals as they occur in X-ray tomography, nuclear medicine, magnetic resonance imaging, and electron microscopy. Nonstandard situations, such as incomplete data, unknown orientations, local tomography, and discrete tomography are not dealt with. Nor do we treat nonlinear tomographic techniques such as impedance, ultrasound, and near-infrared imaging.

scholarly journals Spectral X-ray CT for Fast NDT Using Discrete Tomography

2021 ◽  
Author(s):  
D. Kamilis ◽  
S. Lee ◽  
J. Desjardins ◽  
N. Polydorides
Keyword(s):  
Fault Detection ◽  
Heterogeneous Media ◽  
A Priori ◽  
Characteristic Functions ◽  
Imaging Method ◽  
Discrete Tomography ◽  
Destructive Testing ◽  
X Ray ◽  
Attenuation Models ◽  
Materials Used

We present progress in fast, high-resolution imaging, material classification, and fault detection using hyperspectral X-ray measurements. Classical X-ray CT approaches rely on data from many projection angles, resulting in long acquisition and reconstruction times. Additionally, conventional CT cannot distinguish between materials with similar densities. However, in additive manufacturing, the majority of materials used are known a priori. This knowledge allows to vastly reduce the data collected and increase the accuracy of fault detection. In this context, we propose an imaging method for non-destructive testing of materials based on the combination of spectral X-ray CT and discrete tomography. We explore the use of spectral X-ray attenuation models and measurements to recover the characteristic functions of materials in heterogeneous media with piece-wise uniform composition. We show by means of numerical simulation that using spectral measurements from a small number of angles, our approach can alleviate the typical deterioration of spatial resolution and the appearance of streaking artifacts.

Sign in / Sign up

Export Citation Format

Share Document