scholarly journals Making a Mark: Process, Pattern and Change in the British and Irish Neolithic

2021 ◽  
pp. 1-19
Author(s):  
Andrew Meirion Jones ◽  
Marta Díaz-Guardamino
Keyword(s):  
Digital Imaging ◽  
Imaging Techniques ◽  
Rock Art ◽  
Social Practices ◽  
Emergent Properties ◽  
Evolution And Development ◽  
Process Pattern ◽  
Contextual Framework ◽  
Reflectance Transformation Imaging

This paper presents key results of the Making a Mark project (2014–2016), which aimed to provide a contextual framework for the analysis of mark making on portable artefacts in the British and Irish Neolithic by comparing them with other mark-making practices, including rock art and passage tomb art. The project used digital imaging techniques, including Reflectance Transformation Imaging (RTI), and improved radiocarbon chronologies, to develop a new understanding of the character of mark making in the British and Irish Neolithic. Rather than considering this tradition in representational terms, as expression of human ideas, we focus on two kinds of relational material practices, the processes of marking and the production of skeuomorphs, and their emergent properties. We draw on Karen Barad's concept of ‘intra-action’ and Gilles Deleuze's notion of differentiation to understand the evolution and development of mark-making traditions and how they relate to other kinds of social practices over the course of the Neolithic.

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
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