HR: 1340h
AN: H53E-1456    [Abstracts]
TI: Evaluation of Local and Global Segmentation Techniques for Quantitative Analysis of X-Ray CT Images of Geological Materials
AU: * Tuller, M
EM: mtuller@cals.arizona.edu
AF: The University of Arizona, Department of Soil, Water, and Environmental Science, Tucson, AZ 85721, United States
AU: Gebrenegus, T
EM: gebr6446@vandals.uidaho.edu
AF: University of Idaho, Department of Plant, Soil, and Entomological Sciences, Moscow, ID 83844, United States
AB: Advanced 3-D imaging techniques such as X-ray Computed Tomography (CT) in association with mathematical morphology based analysis can be employed to quantify the geometrical and topological features of pore networks. The first and critical step in image analysis is segmentation to separate pores from the surrounding matrix. Results of all subsequent two- and three-dimensional analyses is strongly dependent on the accuracy of the segmentation step, hence the choice of thresholding technique is of crucial importance. In this study we tested several global and local thresholding techniques for binarization of CT images of geological materials. Geometrical and topological pore network features such as porosity, specific surface area, pore size distribution, tortuosity, and connectivity were determined based on mathematical morphology operations.
DE: 0540 Image processing
DE: 1865 Soils (0486)
DE: 8030 Microstructures
SC: Hydrology [H]
MN: 2007 Fall Meeting