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Monday, July 27, 2020 | History

2 edition of Detection of knots in logs using x-ray imaging found in the catalog.

Detection of knots in logs using x-ray imaging

Markku Pietikainen

Detection of knots in logs using x-ray imaging

by Markku Pietikainen

  • 12 Want to read
  • 13 Currently reading

Published by VTT, Technical Research Centre of Finland in Espoo, Finland .
Written in English

    Subjects:
  • X-rays.,
  • Non-destructive testing.,
  • Wood -- Defects.

  • Edition Notes

    StatementMarkku Pietikainen.
    SeriesVTT publications -- 266., VTT julkaisuja -- 266.
    ContributionsValtion teknillinen tutkimuskeskus.
    The Physical Object
    Pagination70 p. + appendices :
    Number of Pages70
    ID Numbers
    Open LibraryOL15424273M
    ISBN 109513849244

    AbstractWhen urban subway lines pass under buildings, it is often necessary to carry out corresponding pile foundation detection work to ensure construction safety. However, detecting the distribut. Capture Digital X-ray Image Digital X-ray is X-ray imaging. In digital x-ray, digital X-ray sensors chips are used instead of traditional photographic film used to capture the x-ray. Digital x-ray required less radiation which is used to be producing an image of similar contrast to conventional x-ray. Digital x-ray.

    X-ray computed tomography (CT) is an effective scanning technology for imaging inner roundwood features. It is assumed that using this technology for log inspection prior to the first conversion co.   In this Feature article, we report the current trends in X-ray imaging using two detector technologies, hybrid and monolithic detectors. Both technologies enable the imaging of X-ray patterns with unique capabilities, such as single-photon detection, high dynamic ranges and sharp images.

    Services Digital X-ray. X-ray imaging is the oldest and most frequently used form of medical imaging for the entire body. It is a painless medical test that helps physicians diagnose and treat various conditions such as determining whether a bone has been fractured, locating foreign objects, and assisting in the detection and diagnosis of cancer.   Our results are very promising and seem to open up new possibilities for the imaging of the distribution of elements with a high atomic number Z in the human body using x-ray attenuation measurements. To demonstrate the usefulness of the detection and the appropriate processing of the spectral information, we present simulated images of an.


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Detection of knots in logs using x-ray imaging by Markku Pietikainen Download PDF EPUB FB2

T1 - Detection of knots in logs using x-ray imaging. T2 - Dissertation. AU - Pietikäinen, Markku. N1 - Project code: ELET PY - Y1 - N2 - The economy of the sawing process would be greatly improved, if the internal properties of logs were known beforehand.

Detection of knots in logs using x-ray imaging Markku Pietikäinen VTT Electronics Dissertation for the degree of Doctor of Technology to be presented, with the permission of the Department of Electrical Engineering of the University of Oulu, for public discussion in the Auditorium L5, Linnanmaa, on March 8th,at 12 o’clock noon.

This paper considers a novel application of x-ray imaging of planks, for the purpose of detecting knots in high quality furniture wood. X-ray imaging allows the detection of knots invisible from. Detection of knots using X-ray tomographies and deformable contours with simulated annealing.

Wood Research. v53 i2. Google Scholar; Aguilera et al, b. Internal wood inspection with active contour using data from CT scanning.

Wood Research. v53 i4. Google Scholar; Andreu and Rinnhofer, by: 1. 2 Suitable tools for X-Ray CT images of logs Pith detection Pith detection is an essential first step to wood knot detection.

In particular, in the proposed method it will allow to focus on a restricted area around the pith. In this area, we are sure that intensity variations observed in images indicate the presence of knots. This depends on accurate detection of knots to assess internal quality.

However, as logs are stored, they dry to some extent, and this drying affects the density variation in the log and therefore the X-ray images. For this reason, it is hypothetically difficult to detect log features in partially dried logs using X-ray.

This paper presents an original problem of knot detection in 3D X-ray Computer Tomography images of wood stems. This image type is very different from classical medical images and presents.

A review of the literature about automatic knot detection in X-ray CT images is provided. Relatively few references give quantitatively accurate results of knot measurements (i.e., not only knot localisation but knot size and inclination as well).

The method was tested on a set of seven beams of Norway spruce and silver fir. This paper presents an original problem of knot detection in 3D X-ray Computer Tomography images of wood stems. This image type is very different from classical medical images and presents specific geometric structures.

These ones are characteristic of wood stems nature. Aguilera, C., Sanchez, R., Baradit, E.: Detection of knots using x-ray tomographies and deformable contours with simulated annealing.

Wood Res. 53, 57–66 ( X-ray daily log sheet. vii. INTRODUCTION General Overview of the X-ray Component NIAMSD has requested and is supporting the inclusion of an arthritis component in NHANES III, both to update national prevalence data from earlier surveys of. Knot Detection in X-Ray CT Images of Wood.

This study presents a method for predicting the local fiber orientation of veneers made from peeled Douglas-fir logs based on the knowledge of the tree branch characteristics (location, radius, insertion angle, azimuth angle, and living branch ratio).

This model is based on the Rankine oval theory approach and focuses on the local deviation of the fiber orientation in the vicinity of knots.

Title:A Review on X-ray Detection Using Nanomaterials VOLUME: 13 ISSUE: 4 Author(s):Zhiping Luo*, John G Moch, Shardai S Johnson and Chien Chon Chen Affiliation:Department of Chemistry and Physics, Fayetteville State University, Fayetteville, NCDepartment of Chemistry and Physics, Fayetteville State University, Fayetteville, NCDepartment of Chemistry and Physics.

The logs were scanned in early August using the For this study, voltage and current of the X-ray tube were set to kV and 14 mA respectively. Spatial resolution was mm in the transverse plane and was set to 1 mm in the longitudinal direction.

Image size was by pixels with a dynamic resolution of 16 bit. Free Online Library: Effect of knot detection errors when using a computed tomography log scanner for sawing control.(Abstract) by "Forest Products Journal"; Business Forest products industry CAT scans CT imaging Image processing Equipment.

Performing a quality X-ray scan could save someone’s life. At NSI we can do 2D X-ray imaging, 3D scanning and 4D scanning. The 2D imaging is like an X-ray you get at a doctor’s office if you broke a bone where the internals of the sample are projected onto one image on top of each other.

The basic properties which are generally used for the detection of X-rays are: (i) blackening of a photographic plate and (ii) the ionization produced by X–rays in a gas or vapour.

X-ray detectors are devices used to measure the flux, spatial distribution, spectrum, and/or other properties of X-rays. Detectors can be divided into two major categories: imaging detectors (such as photographic plates and X-ray film (photographic film), now mostly replaced by various digitizing devices like image plates or flat panel detectors) and dose measurement devices (such as.

Muon tomography is a technique that uses cosmic ray muons to generate three-dimensional images of volumes using information contained in the Coulomb scattering of the muons. Since muons are much more deeply penetrating than X-rays, muon tomography can be used to image through much thicker material than x-ray based tomography such as CT muon flux at the Earth's surface is.

x-ray-detector-selection-guide. In order to develop photon-counting x-ray imaging detectors for CT, the high count rate combined with a need for high detection efficiency requires the development of detector structures that can provide formation of the response signal much faster than the transit time of carriers over the whole detector thickness.This is the workhorse for radiation detection in medical imaging today - especially at higher energies.

It is used for most (digital) Xray, CT, PET and SPECT imaging. Xenon - because of the high Z it has reasonable stopping power for Xrays (especially when under high pressure: 10 - 25 bar typically).