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.

Digital imaging of micro bivalves

Zoosymposia ◽  
2008 ◽  
Vol 1 ◽  
pp. 47-61
Author(s):  
JAMES A. TURNER
Keyword(s):  
Digital Imaging ◽  
Imaging Techniques ◽  
Digital Camera ◽  
Specimen Preparation ◽  
Post Processing ◽  
Image Capture ◽  
Diffi Cult ◽  
Taxonomic Research ◽  
Working Practices ◽  
Publication Quality

Advancements in digital camera technology, microscope optics and image capture software have allowed researchers to create more detailed and higher quality images than ever before. Digital imaging using light microscopy at high magnifi - cations does, however, have its limitations. Features that may be diagnostic for species identifi cation can often be diffi cult to illustrate using standard imaging techniques alone, and other methods, such as Scanning Electron Microscopy (SEM) and traditional line illustration, may be better suited to the task. The best results are often achieved by using a combination of these methods to create visual taxonomic guides to bivalve species. Drawing from the experiences gained whilst undertaking digital imaging projects, this paper covers current working practices in place at Amgueddfa Cymru - National Museum Wales, providing details of the equipment and techniques in use. Specimen preparation, lighting methods, digital image post-processing and image fi le management are discussed. These topics will detail the methods used for capturing aspects of bivalve morphology of both the shell and the anatomy of specimens 5 mm in size or less in order to produce publication quality images for taxonomic research.

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.

scholarly journals Respiratory-gated KES imaging of a rat model of acute lung injury at the Canadian Light Source

2017 ◽  
Vol 24 (3) ◽  
pp. 679-685 ◽  
Author(s):  
P. Deman ◽  
S. Tan ◽  
G. Belev ◽  
N. Samadi ◽  
M. Martinson ◽  
...  
Keyword(s):  
Lung Injury ◽  
Contrast Agent ◽  
Light Source ◽  
Imaging Techniques ◽  
Image Acquisition ◽  
Brown Norway ◽  
Pulmonary Vasculature ◽  
Imaging Method ◽  
Imaging Protocol ◽  
Iodinated Contrast

In this study, contrast-enhanced X-ray tomographic imaging for monitoring and quantifying respiratory disease in preclinical rodent models is proposed. A K-edge imaging method has been developed at the Canadian Light Source to very accurately obtain measurements of the concentration of iodinated contrast agent in the pulmonary vasculature and inhaled xenon in the airspaces of rats. To compare the iodine and xenon concentration maps, a scout projection image was acquired to define the region of interest within the thorax for imaging and to ensure the same locations were imaged in each K-edge subtraction (KES) acquisition. A method for triggering image acquisition based on the real-time measurements of respiration was also developed to obtain images during end expiration when the lungs are stationary, in contrast to other previously published studies that alter the respiration to accommodate the image acquisition. In this study, images were obtained in mechanically ventilated animals using physiological parameters at the iodine K-edge in vivo and at the xenon K-edge post mortem (but still under mechanical ventilation). The imaging techniques were performed in healthy Brown Norway rats and in age-matched littermates that had an induced lung injury to demonstrate feasibility of the imaging procedures and the ability to correlate the lung injury and the quantitative measurements of contrast agent concentrations between the two KES images. The respiratory-gated KES imaging protocol can be easily adapted to image during any respiratory phase and is feasible for imaging disease models with compromised lung function.

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.

Psychophysics Study on LED Flicker Artefacts for Automotive Digital Mirror Replacement Systems

2020 ◽  
Vol 2020 (11) ◽  
pp. 234-1-234-6
Author(s):  
Nicolai Behmann ◽  
Holger Blume
Keyword(s):  
Light Source ◽  
Pulse Width ◽  
Digital Camera ◽  
Relevant Information ◽  
Human Vision ◽  
Light Sources ◽  
Traffic Light ◽  
Pulse Width Modulated ◽  
Novel Approach ◽  
Flicker Light

LED flicker artefacts, caused by unsynchronized irradiation from a pulse-width modulated LED light source captured by a digital camera sensor with discrete exposure times, place new requirements for both visual and machine vision systems. While latter need to capture relevant information from the light source only in a limited number of frames (e.g. a flickering traffic light), human vision is sensitive to illumination modulation in viewing applications, e.g. digital mirror replacement systems. In order to quantify flicker in viewing applications with KPIs related to human vision, we present a novel approach and results of a psychophysics study on the effect of LED flicker artefacts. Diverse real-world driving sequences have been captured with both mirror replacement cameras and a front viewing camera and potential flicker light sources have been masked manually. Synthetic flicker with adjustable parameters is then overlaid on these areas and the flickering sequences are presented to test persons in a driving environment. Feedback from the testers on flicker perception in different viewing areas, sizes and frequencies are collected and evaluated.

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