2006
DOI: 10.1016/j.cemconres.2005.10.006
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Pore segmentation of cement-based materials from backscattered electron images

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Cited by 358 publications
(102 citation statements)
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References 18 publications
(21 reference statements)
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“…The reproducible contrast of BSE images makes them well suited to use in achieving this aim. Scrivener et al (1986) have shown that the amount of unreacted cement measured by BSE and image analysis corresponds well with independent measures of hydration, and this has also been demonstrated to be highly effective for determination of the extent of reaction of supplementary cementitious materials in blends containing PC (Wong et al, 2006;Scrivener et al, 2015). However, the situation is likely to be different for the study of porosity, which is usually present in discrete regions that are much smaller than the anhydrous cement (or slag) particles.…”
mentioning
confidence: 95%
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“…The reproducible contrast of BSE images makes them well suited to use in achieving this aim. Scrivener et al (1986) have shown that the amount of unreacted cement measured by BSE and image analysis corresponds well with independent measures of hydration, and this has also been demonstrated to be highly effective for determination of the extent of reaction of supplementary cementitious materials in blends containing PC (Wong et al, 2006;Scrivener et al, 2015). However, the situation is likely to be different for the study of porosity, which is usually present in discrete regions that are much smaller than the anhydrous cement (or slag) particles.…”
mentioning
confidence: 95%
“…However, the situation is likely to be different for the study of porosity, which is usually present in discrete regions that are much smaller than the anhydrous cement (or slag) particles. Wong et al (2006) also demonstrated the determination of the porosity threshold from the inflection point of the cumulative brightness histogram of the gray levels within a micrograph, and showed that this method provides reliable results for materials based on PC.…”
mentioning
confidence: 99%
“…14e and 14f) and the overflow criterion for the pore segmentation (Fig. 14b) proposed by Wong et al (2006). More details about these two methods can be found in (Gao et al 2013a), where image analysis was used to examine the interface around aggregates in mortar specimens.…”
Section: Image Analysismentioning
confidence: 99%
“…As the threshold value increases, firstly, the porosity will increase gradually and then after the value reaching a critical value, the porosity will increase dramatically. This critical point where the porosity starts to increase suddenly can be a suitable upper threshold value to segment the images [13]. After that, we converted the grayscale image into binary image and studied the pore structures by using ImagJ which is common commercial image analysis software.…”
Section: Image Processingmentioning
confidence: 99%