Computers and Concrete

  • 제5권1호
  • /
  • Pages.61-74
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  • 2008
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  • 1598-8198(pISSN)
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  • 1598-818X(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

A methodology for spatial distribution of grain and voids in self compacting concrete using digital image processing methods

  • Onal, Okan (Dokuz Eylul University, Department of Civil Engineering) ;
  • Ozden, Gurkan (Dokuz Eylul University, Department of Civil Engineering) ;
  • Felekoglu, Burak (Dokuz Eylul University, Department of Civil Engineering)
  • 투고 : 2007.09.11
  • 심사 : 2008.02.01
  • 발행 : 2008.02.25
⟨ 이전 논문 다음 논문 ⟩

초록

Digital image processing algorithms for the analysis and characterization of grains and voids in cemented materials were developed using toolbox functions of a mathematical software package. Utilization of grayscale, color and watershed segmentation algorithms and their performances were demonstrated on artificially prepared self-compacting concrete (SCC) samples. It has been found that color segmentation was more advantageous over the gray scale segmentation for the detection of voids whereas the latter method provided satisfying results for the aggregate grains due to the sharp contrast between their colors and the cohesive matrix. The watershed segmentation method, on the other hand, appeared to be very efficient while separating touching objects in digital images.

키워드

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  2. Alkali-Activated Stainless Steel Slag as a Cementitious Material in the Manufacture of Self-Compacting Concrete vol.14, pp.14, 2008, https://doi.org/10.3390/ma14143945