scholarly journals RADIONUCLIDE DIGITAL IMAGING TECHNIQUES

1989 ◽  
Vol 45 (11) ◽  
pp. 1780-1784
Author(s):  
YUTAKA NAKAMURA
Keyword(s):  
Digital Imaging ◽  
Imaging Techniques

Digital imaging and quantitative image analysis of polymer blends

1996 ◽  
Vol 54 ◽  
pp. 170-171
Author(s):  
Xiao Zhang
Keyword(s):  
Digital Imaging ◽  
Imaging Techniques ◽  
Imaging Systems ◽  
Polymer Science ◽  
Key Factors ◽  
Multiple Imaging ◽  
Quantitative Image ◽  
Digital Imaging Systems ◽  
Multi Phase ◽  
Network Technologies

Polymer microscopy involves multiple imaging techniques. Speed, simplicity, and productivity are key factors in running an industrial polymer microscopy lab. In polymer science, the morphology of a multi-phase blend is often the link between process and properties. The extent to which the researcher can quantify the morphology determines the strength of the link. To aid the polymer microscopist in these tasks, digital imaging systems are becoming more prevalent. Advances in computers, digital imaging hardware and software, and network technologies have made it possible to implement digital imaging systems in industrial microscopy labs.

The application of digital imaging techniques in the in vivo estimation of the body composition of pigs: a review

1999 ◽  
Vol 60 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Cs. Szabo ◽  
L. Babinszky ◽  
M.W.A. Verstegen ◽  
O. Vangen ◽  
A.J.M. Jansman ◽  
...  
Keyword(s):  
Body Composition ◽  
Digital Imaging ◽  
Imaging Techniques ◽  
The Body

A Method for Image Forgery Detection Based on Error Level Analysis (ELA) Technique

2020 ◽  
Author(s):  
Emanuele Morra ◽  
Roberto Revetria ◽  
Danilo Pecorino ◽  
Gabriele Galli ◽  
Andrea Mungo ◽  
...  
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Digital Imaging ◽  
Imaging Techniques ◽  
Automated System ◽  
Learning Approaches ◽  
Forgery Detection ◽  
Error Level ◽  
Detection Algorithms ◽  
Level Analysis

In the last years, there has been growing a large increase in digital imaging techniques, and their applications became more and more pivotal in many critical scenarios. Conversely, hand in hand with this technological boost, imaging forgeries have increased more and more along with their level of precision. In this view, the use of digital tools, aiming to verify the integrity of a certain image, is essential. Indeed, insurance is a field that extensively uses images for filling claim requests and a robust forgery detection is essential. This paper proposes an approach which aims to introduce a full-automated system for identifying potential splicing frauds in images of car plates by overcoming traditional problems using artificial neural networks (ANN). For instance, classic fraud-detection algorithms are impossible to fully automatize whereas modern deep learning approaches require vast training datasets that are not available most of the time. The method developed in this paper uses Error Level Analysis (ELA) performed on car license plates as an input for a trained model which is able to classify license plates in either original or forged.

Digital Imaging Techniques for Assessment of Homogeneity of Granular Materials

1996 ◽  
Vol 1526 (1) ◽  
pp. 121-128 ◽  
Author(s):  
Khalid Al-Shibli ◽  
Emir José Macari ◽  
Stein Sture
Keyword(s):  
Granular Materials ◽  
Digital Imaging ◽  
Void Ratio ◽  
Imaging Techniques ◽  
Particle Orientation ◽  
Specimen Preparation ◽  
Preparation Technique ◽  
Fine Grained ◽  
Invasive Techniques ◽  
High Degree

This study focuses on the use of digital image techniques to evaluate and develop quantitative measures of fabric for fine-grained granular materials to assess degrees of homogeneity and isotropy. The description of a procedure performed to prepare homogeneous cylindrical sand specimens is presented. Two techniques were performed to investigate the homogeneity. The specimens were preserved with an ultralow viscosity embedding epoxy resin, and they were allowed to cure prior to dissection for subsequent detailed analysis of the internal fabric. Digital imaging techniques were used to process and analyze various sections of the specimens. The analysis consisted of studying two specific fabric characteristics of the soil: particle orientation and local void ratio. Frequency distribution charts were plotted to assess the degrees of homogeneity and isotropy. Other invasive techniques were also used in some cases to assess the repeatability of the specimen preparation technique. Results indicate that the specimens were prepared with a high degree of homogeneity. Some degree of spatial variation was observed in the local void ratio evaluation.

Analyzing Yarn-to-Surface Friction with Data Acquisition and Digital Imaging Techniques

2000 ◽  
Vol 70 (1) ◽  
pp. 36-43 ◽  
Author(s):  
A.D. Vickers ◽  
D.G. Beale ◽  
Y.T. Wang ◽  
S. Adanur
Keyword(s):  
Data Acquisition ◽  
Digital Imaging ◽  
Imaging Techniques ◽  
Surface Friction

Application of Digital Imaging Techniques in Detection of Defects in Thin Plywood

2010 ◽  
Author(s):  
Masoud Mojtahed ◽  
Joslin Mourillon ◽  
Adam Riley
Keyword(s):  
Light Source ◽  
Digital Imaging ◽  
Imaging Techniques ◽  
Digital Camera ◽  
Correct Match ◽  
Computer Screen ◽  
Light Enhancement ◽  
System Operator ◽  
Intense Light ◽  
Locating System

The detection of flaws and cavities in thin plywood boards saves money for manufactures of a variety of products. Flaws in the boundaries of pieces cut from plywood makes them useless. Therefore, it is essential to detect and locate knots and flaws in plywood boards before the cutting process. A detection and locating system was developed to detect knots and cavities in thin plywood boards using Digital Image Processing and light enhancement methods. The system comprises of three major components: a light source, a digital camera and a computer. The intense light source is used to brighten and reveal flaws and defects in the plywood board in an apparatus. The digital camera captures a digitized picture of the lighted board and stores it on the computer. Finally, a program written in Matlab™ code analyzes the captured image of the board, compares it to a template, and indicates whether flaws are located on the template’s cut lines. The advantage of using these methods is that it allows for the examination and analysis of the plywood without compromising its integrity. When a flaw is detected, the system repositions the plywood image in search of finding an orientation that will allow all defects to avoid cut lines. The process is repeated against several templates until the correct match is found. Once the match and usable orientation is found, a prompt will appear on the computer screen telling the system operator the template name and the orientation of the plywood board.

scholarly journals Multi-Axial Stage for a Stereo Dissecting Microscope

2006 ◽  
Vol 14 (5) ◽  
pp. 48-49
Author(s):  
Zhaojie Zhang
Keyword(s):  
Digital Imaging ◽  
Imaging Techniques ◽  
Depth Of Focus ◽  
Extended Depth Of Focus ◽  
Structure Observation ◽  
Dedicated Hardware

The stereo dissecting microscope is a widely used instrument for macro-structure observation and documentation. The emergence of digital imaging, along with sophisticated imaging software, makes this macro-imaging more efficient. It also makes possible certain special imaging modes that are difficult to accomplish with traditional (film) imaging, such as extended depth of focus imaging ( EDF), automatic mont aging, etc. These special imaging techniques often require dedicated hardware on the microscope, such as a motorized stage.

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