Simulation Study of Soil Aggregate Segmentation Methods
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The study evaluated different segmentation methods for classifying pores and solids in computed microtomography images of soil aggregates. Simulated soil aggregate images were generated with varying porosity and partial volume effects to test the methods in absence of ground truth data. The Indicator Kriging method produced segmented images most similar to the ground truths across all cases and preserved pore characteristics best, as measured by misclassification error and a region non-uniformity metric. The study recommends using the region non-uniformity criterion and Indicator Kriging method for segmenting soil aggregate images.
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Simulation Study of Soil Aggregate Segmentation Methods
- 1. A Simulation Study of Segmentation Methods on the Soil Aggregate Microtomographic Images Wei Wang, Alexandra N. Kravchenko, Kateryna Ananyeva, Alvin J. M. Smucker, C.Y. Lim and Mark L. Rivers Department of Crop & Soil Sciences, Department of Statistics & Probability, MSU Advanced Photon Source, Argonne National Laboratory
- 2. Computed microtomographic images (CMT)
- 12. Grey scale image simulation Ground truth image Simulation in the pore space Simulation in the solid space + noise simulation Original image from the scan
- 13. Different porosity cases (1) Low Medium High High + flow pattern Porosity = 4.8% Porosity = 7.8% Porosity = 16.5% Porosity = 22.8%
- 14. Different porosity cases (2) Low Medium High High + flow pattern Porosity = 3.6% Porosity = 8.3% Porosity = 15.8% Porosity = 28.5%
- 21. Results (Low porosity) Ground truth image IK Entropy Iterative Otsu Distinct segmentation error
- 22. Results (Medium porosity) Ground truth image IK Entropy Iterative Otsu
- 23. Results (High porosity) Ground truth image IK Entropy Iterative Otsu
- 24. Results (High+flow pattern) Ground truth image IK Entropy Iterative Otsu
- 25. Comparisons of segmentation methods using ME and NU Overall ranking by ME : IK > Entropy > Iterative > Otsu Overall ranking by NU : IK > Otsu > Iterative > Entropy Indicator Kriging is the best! Indicator Kriging is the best! IK Iter Otsu Entropy Entropy IK Otsu Iter
- 30. Thanks for your attention!