Next Article in Journal
T-Patterns Revisited: Mining for Temporal Patterns in Sensor Data
Previous Article in Journal
Laser Induced Breakdown Spectroscopy for Elemental Analysis in Environmental, Cultural Heritage and Space Applications: A Review of Methods and Results
Article Menu

Export Article

Open AccessArticle
Sensors 2010, 10(8), 7469-7495; doi:10.3390/s100807469

Development and Implementation of Image-based Algorithms for Measurement of Deformations in Material Testing

Department of Building Engineering Science and Technology, Politecnico di Milano, via Marco d’Oggiono, 18/a, Lecco, Italy
*
Author to whom correspondence should be addressed.
Received: 1 July 2010 / Revised: 15 July 2010 / Accepted: 3 August 2010 / Published: 10 August 2010
(This article belongs to the Section Chemical Sensors)
View Full-Text   |   Download PDF [1441 KB, 21 June 2014; original version 21 June 2014]   |  

Abstract

This paper presents the development and implementation of three image-based methods used to detect and measure the displacements of a vast number of points in the case of laboratory testing on construction materials. Starting from the needs of structural engineers, three ad hoc tools for crack measurement in fibre-reinforced specimens and 2D or 3D deformation analysis through digital images were implemented and tested. These tools make use of advanced image processing algorithms and can integrate or even substitute some traditional sensors employed today in most laboratories. In addition, the automation provided by the implemented software, the limited cost of the instruments and the possibility to operate with an indefinite number of points offer new and more extensive analysis in the field of material testing. Several comparisons with other traditional sensors widely adopted inside most laboratories were carried out in order to demonstrate the accuracy of the implemented software. Implementation details, simulations and real applications are reported and discussed in this paper.
Keywords: automation; computer vision; construction materials; displacement/deformation; image metrology; photogrammetry; vision metrology; targets automation; computer vision; construction materials; displacement/deformation; image metrology; photogrammetry; vision metrology; targets
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Barazzetti, L.; Scaioni, M. Development and Implementation of Image-based Algorithms for Measurement of Deformations in Material Testing. Sensors 2010, 10, 7469-7495.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top