Computers and Concrete

  • 제14권3호
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  • Pages.315-325
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  • 2014
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  • 1598-8198(pISSN)
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  • 1598-818X(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Automated segmentation of concrete images into microstructures: A comparative study

  • Yazdi, Mehran (Department of Electronics and Computer Engineering,Shiraz University) ;
  • Sarafrazi, Katayoon (Department of Electronics and Computer Engineering,Shiraz University)
  • 투고 : 2013.12.14
  • 심사 : 2014.07.13
  • 발행 : 2014.09.30
⟨ 이전 논문 다음 논문 ⟩

초록

Concrete is an important material in most of civil constructions. Many properties of concrete can be determined through analysis of concrete images. Image segmentation is the first step for the most of these analyses. An automated system for segmentation of concrete images into microstructures using texture analysis is proposed. The performance of five different classifiers has been evaluated and the results show that using an Artificial Neural Network classifier is the best choice for an automatic image segmentation of concrete.

키워드

참고문헌

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피인용 문헌

  1. Digital Analysis of Geo-Referenced Concrete Scanning Electron Microscope (SEM) Images vol.30, pp.2, 2014, https://doi.org/10.2478/ceer-2020-0020