Application of intelligent image processing in the construction material industry

Authors

  • Katharina Anding Ilmenau University of Technology
  • Daniel Garten GFE - society for production engineering and development Schmalkalden
  • Elske Linß Faculty Civil Engineering, Chair Material of Building, Bauhaus-University of Weimar, Weimar, Germany

DOI:

https://doi.org/10.21014/acta_imeko.v2i1.100

Abstract

This paper discusses two analysis activities in the construction material industry, which could be solved by intelligent image processing algorithms. The first task is the optical identification of recycled aggregates of construction and demolition waste (CDW) as basis of an innovative sorting method on the field of processing of CDW. The second and far more complicated task due to very high phenotypical object variabilities within the subclasses is the optical analysis of samples from mineral aggregates. The application of automatically optical identification methods can save time and thus costs. This is an important factor for small and medium-sized companies in the construction material industry.

Author Biographies

Katharina Anding, Ilmenau University of Technology

postdoctoral research fellow

Department of Quality Assurance and Industrial Image Processing

Daniel Garten, GFE - society for production engineering and development Schmalkalden

Society for production engineering and development Schmalkalden e.V.
Geschäftsbereich Messtechnik/Prüfstandsbau
Näherstiller Straße 10
98574 Schmalkalden
Germany

Elske Linß, Faculty Civil Engineering, Chair Material of Building, Bauhaus-University of Weimar, Weimar, Germany

Faculty Civil Engineering, Chair Material of Building, Bauhaus-University of Weimar, Weimar, Germany
ACTA IMEKO Vol 2 No 1 (2013)

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Published

2013-08-16

Issue

Vol. 2 No. 1 (2013)

Section

Research Papers

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