Multifractal analysis of 3D images of tillage soil

摘要: Abstract Recently, X-ray microtomography (μCT) has open a new way to study soil pore structures. However, μCT data originally comes as gray scale images and the selection of segmentation method binarized it an important influence in structure characterization. Three 3D images, corresponding ploughed with different tillage tools, were used this study. A multifractal analysis was applied original avoiding image binarization characterize differentiate In we took into account effect resolution subdivision applied, Cube Counting (CC) Gliding (GC). Comparisons among spectrums (MFS) estimated indicated that reduction affected more Molboard which minimum included one voxel almost imperceptible Chisel image. The three quite distinctive when maximum chosen GC used, meanwhile CC obtained MFS Roller too close be differentiated. amplitude symmetry point out each tool hierarchy structure. Moldboard creates higher complexity physically removes soil. tends destruct aggregates homogenizing presents weak nature. Finally, is intermediate case scaling character mainly lower values