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• W2066044543 abstract "The commercial development of relatively low-cost, software-based image-analyzing systems has made automated analysis of two-dimensional images of soil pore space attractive to a number of soil science laboratories. Such analyses are not necessarily straightforward, however, because the available measurement programs were not designed to be used with images as complex as those of many soils. Each laboratory must address a number of relevant problems before meaningful analyses and comparisons can begin. The problems include: (1) establishing adequate contrast between pores and soil matrix on the image; (2) determining the appropriate number of samples and images per sample to analyze; (3) choosing images representative of pore space at the scale (magnification) of interest; (4) developing and standardizing image-segmentation protocols; (5) standardizing indexes of pore shape; (6) determining when measurements of pore individuals are inappropriate; (7) identifying relevant statistical tests to compare pore-space patterns; and (8) relating the data generated by image analysis to soil behavior. By controlling as many variables as possible during image preparation and by applying fundamental stereological and statistical principles, researchers can use image analysis as an important tool to study soil pore space." @default.
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• W2066044543 date "1992-06-01" @default.
• W2066044543 modified "2023-09-27" @default.
• W2066044543 title "Cautionary notes for the automated analysis of soil pore-space images" @default.
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• W2066044543 doi "https://doi.org/10.1016/0016-7061(92)90067-h" @default.
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