Binary segmentation of aggregate in SEM image analysis of concrete

Image analysis of backscattered electron (bse) images has often been used to determine the fraction of the phases in cement paste, such as porosity and anhydrous cement content. However, application of this technique to concrete requires separation of aggregate particles from the paste matrix in the...

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Bibliographic Details
Published in:Cement and concrete research 2001-03, Vol.31 (3), p.437-441
Main Authors: Yang, R., Buenfeld, N.R.
Format: Article
Language:English
Subjects:
Aggregate
Applied sciences
Backscattered electron imaging
Buildings. Public works
Concrete
Concretes. Mortars. Grouts
Exact sciences and technology
General (composition, classification, performance, standards, patents, etc.)
Image analysis
Materials
Measurements. Technique of testing
SEM
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Summary:Image analysis of backscattered electron (bse) images has often been used to determine the fraction of the phases in cement paste, such as porosity and anhydrous cement content. However, application of this technique to concrete requires separation of aggregate particles from the paste matrix in the bse image. Binary segmentation of phases is usually based on their grey levels in the image, but the grey levels of aggregate frequently overlap those of the other phases present. In this paper, an algorithm is presented for separating out aggregate particles in the concrete image by a combination of grey-level thresholding, filtering and binary operations. The results demonstrate that the method is able to deal with segmentation of different types of aggregate.
ISSN:0008-8846
1873-3948
DOI:10.1016/S0008-8846(00)00493-2