1987
DOI: 10.1016/0037-0738(87)90064-9
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Size, shape and orientation of grains in sands and sandstones—image analysis applied to rock thin-sections

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Cited by 44 publications
(16 citation statements)
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“…For aggregates of granules, individual granules were measured rather than the dimension of aggregates. Apparent grain sizes were corrected using a Matlab script based on the work of Schäfer and Teyssen (1987) to estimate the true grain sizes from observations of spherical segment diameters in thin section cuts through grains. Grains were approximated as oblate spheres.…”
Section: Methodsmentioning
confidence: 99%
“…For aggregates of granules, individual granules were measured rather than the dimension of aggregates. Apparent grain sizes were corrected using a Matlab script based on the work of Schäfer and Teyssen (1987) to estimate the true grain sizes from observations of spherical segment diameters in thin section cuts through grains. Grains were approximated as oblate spheres.…”
Section: Methodsmentioning
confidence: 99%
“…Image analysis is familiar to geologists who have extensively explored the possibilities of this method (Schafer and Teyssen 1987; Allard and Sotin 1988). But quantitative petrographic analysis of ceramic pastes has not been used very often.…”
Section: The Methods Used For the Quantification Of The Petrographic Datamentioning
confidence: 99%
“…However, grain size distributions of fractions which are derived from thin sections are generally biased due to individual grains being cut randomly so that the two-dimensional sections of the grains mostly do not indicate the maximum or minimum cross section, the latter being measured by sieving (Schäfer and Teyssen, 1987;Heilbronner and Keulen, 2006). Furthermore, the circularity measurement can distinguish a circle (i.e.…”
Section: Quartzmentioning
confidence: 99%
“…Many of the workers who have used image analysis to measure the shape and size of particles (Schäfer and Teyssen, 1987;Francus, 1998;Persson, 1998;Mertens and Elsen, 2006) have concluded that image analysis results provide two-dimensional parameters that show a close correlation with the results of three-dimensional parameter methods (sieving) (Mertens and Elsen, 2006). However, grain size distributions of fractions which are derived from thin sections are generally biased due to individual grains being cut randomly so that the two-dimensional sections of the grains mostly do not indicate the maximum or minimum cross section, the latter being measured by sieving (Schäfer and Teyssen, 1987;Heilbronner and Keulen, 2006).…”
Section: Quartzmentioning
confidence: 99%
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