Abstract
ABSTRACThe mean absorption and pixel standard deviation represent two quantitative outputs from x-ray computed tomography (X-ray CT). The standard deviation is a measure of dispersion of individual pixel absorption values. An approach for using the standard deviation statistic in interpreting image texture was developed and was investigated using specially constructed fixtures. The theory assumes a scanned region could be divided into two or three subregions having known absorption values and having a known background standard deviation. Using the model, predicted vs. observed standard deviation agreed within 10%. Prediction of pixel numbers representing pore media compared with actual pixels occupied by pore space agreed within 20%. The standard deviation statistic appears to be a significant aid in quantifying relative proportions of two constituent zones within images representing two zones.
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