Identification of pore spaces in 3D CT soil images using PFCM partitional clustering

Geoderma

Volumn 217-218, Issue , 2014, Pages 90-101

  Ojeda Magana B ^a,b   Quintanilla Dominguez J ^b   Ruelas, R ^a   Tarquis, A M ^b,c   Gomez Barba L ^a   Andina, D ^b  

^a UNIVERSITY OF GUADALAJARA   (Mexico)

^b UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^c Electrotechnical Section   (Spain)

Author keywords

Image sub segmentation; PFCM clustering; Soil morphology; Soil structure

Indexed keywords

ANALYSIS TECHNIQUES; IMAGE SUB-SEGMENTATION; NON-DESTRUCTIVE IMAGING; PARTITIONAL CLUSTERING; PFCM CLUSTERING; SOIL MORPHOLOGY; SOIL STRUCTURE; X-RAY COMPUTED TOMOGRAPHY;

CLUSTERING ALGORITHMS; COMPUTERIZED TOMOGRAPHY; IMAGE SEGMENTATION; IMAGING TECHNIQUES; PORE STRUCTURE; SOIL MECHANICS; SOIL SURVEYS; SOILS; SOLUTE TRANSPORT;

THREE DIMENSIONAL;

ALGORITHM; CLUSTER ANALYSIS; PIXEL; PORE SPACE; QUANTITATIVE ANALYSIS; SOIL MECHANICS; SOIL STRUCTURE; THREE-DIMENSIONAL MODELING; TOMOGRAPHY; VISUALIZATION; X-RAY SPECTROSCOPY;

EID: 84890355448     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2013.11.005     Document Type: Article

References (41)

1. Barni M., Cappellini V., Mecocci A. A possibilistic approach to clustering. IEEE Trans. Fuzzy Syst. 1996, 4(3):393-396.
2. Baveye P.C., Laba M., Otten W., Grinev D., Bouckaert L., DelloStarpaio P., Goswami R.R., Hu Y., Liu J., Mooney S., Pajor R., Sleutel S., Tarquis A., Wang W., Wei Q., Sezgin M. Observer-dependent variability of the thresholding step in the quantitative analysis of soil images and X-ray microtomography data. Geoderma 2010, 157:51-63.
3. Bezdek J.C. Pattern Recognition with Fuzzy Objective Function Algorithms 1981, Plenum Press, New York. P. Press (Ed.).
4. Bronick C.J., Lal R. Soil structure and management: a review. J. Geoderma 2005, 124:3-22.
5. Chen Q., Wolfgang K., Sascha O. Nuclear magnetic resonance imaging for studies of flow and transport in porous media. J. Environ. Qual. 2002, 31(2):477-486.
6. Cortina-Januchs M.G., Quintanilla-Dominguez J., Vega-Corona A., Tarquis A.M., Andina D. Detection of pore space in CT soil images using artificial neural networks. Biogeosciences 2011, 8:279-288.
7. Crawford J.W. Can complex be simple?. Geoderma 2010, 160(1):1-2.
8. De Bartolo S., Otten W., Cheng Q., Tarquis A.M. Modeling soil system: complexity under your feet. Biogeosciences 2011, 8:3139-3142.
9. Hamamoto S., Moldrup P., Kawamoto K., Wickramarachchi P.N., Nagamori M., Komatsu T. Extreme compaction effects on gas transport parameters and estimated climate gas exchange for a landfill final cover soil. J. Geotech. Geoenviron. Eng. 2011, 137:653-663.
10. Hapca S.M., Houston A.N., Otten W., Baveye P.C. New local thresholding method for soil images by minimizing grayscale intra-class variance. Vadose Zone J. 2013, 12(3).
11. Houston A.N., Schmidt S., Tarquis A.M., Otten W., Baveye P.C., Hapca S.M. Effect of scanning and image reconstruction settings in X-ray computed tomography on soil image quality and segmentation performance. Geoderma 2013, 207-208:154-165.
12. Houston A.N., Otten W., Baveye P.C., Hapca S. Adaptive-window indicator kriging: a thresholding method for computed tomography images of porous media. Comput. Geosci. 2013, 54:239-248.
13. Iassonov P., Tuller M. Application of image segmentation for correction of intensity bias in X-ray CT images. Vadose Zone J. 2010, 9:1-5.
14. Iassonov P., Gebrenegus T., Tuller M. Segmentation of X-ray computed tomography images of porous materials: a crucial step for characterization and quantitative analysis of pore structures. Water Resour. Res. 2009, 45:W09415.
15. Jacobson A.R., Dousset S., Andreux F., Baveye P.C. Electron microprobe and synchrotron X-ray fluorescence mapping of the heterogeneous distribution of copper in high-copper vineyard soils. Environ. Sci. Technol. 2007, 41(18):6343-6349.
16. Krishnapuram R., Keller J.M. A possibilistic approach to clustering. IEEE Trans. Fuzzy Syst. 1993, 1(2):98-110.
17. Laine A., Schuler S., Fan J., Huda W. Mammographic feature enhancement by multiscale analysis. IEEE Trans. Med. Imaging 1994, 13:725-740.
18. Lehmann P., Wyss P., Flisch A., Lehmann E., Vontobel P., Krafczyk M., Kaestner A., Beckmann F., Gygi A., Fluhler H. Tomographical imaging and mathematical description of porous media used for the prediction of fluid distribution. Vadose Zone J. 2006, 5:80-97.
19. Maximilian Köhne J., Schlüter S., Vogel H.J. Predicting solute transport in structured soil using pore network models. Vadose Zone J. 2011, 10(3):1082-1096.
20. Melo F.J.R., dos Santos M.C. Micromorfologia e mineralogía de dois solos de Tabuleirocosteiro de Pernambuco. R. Bras. Ci. Solo 1996, 20:99-108.
21. Ojeda-Magaña B., Ruelas R., Corona-Nakamura M.A., Andina D. Better interpretation of numerical data sets by relative and absolute typicality of fuzzy clustering algorithms. Spec. Issue Adv. Pattern Recognit. 2009, 44:157-166.
22. Ojeda-Magaña B., Ruelas R., Buendía-Buendía F., Andina D. A greater knowledge extraction coded as fuzzy rules and based on the fuzzy and typicality degrees of the GKPFCM clustering algorithm. Intell. Autom. Soft Comput. 2009, 15(4):555-5571.
23. Ojeda-Magaña B., Quintanilla-Domínguez J., Ruelas R., Andina D. Images sub-segmentation with the PFCM clustering algorithm. 7th IEEE International Conference on Industrial Informatics. INDIN 2009 2009, 499-503.
24. Pal N., Pal S., Keller J., Bezdek J. A possibilistic fuzzy c-means clustering algorithm. IEEE Trans. Fuzzy Syst. 2005, 13(4):517-530.
25. Perret J., Prasher S.O., Kantzas A., Langford C. A two-domain approach using CAT scanning to model solute transport in soil. J. Environ. Qual. 2000, 29(3):995-1010.
26. Perret J.S., Prasher S.O., Kacimov A.R. Mass fractal dimension of soils macropores using computed tomography: from the box counting to the cube-counting algorithm. J. Hydrol. 2003, 267:285-297.
27. Piñuela J., Alvarez A., Andina D., Heck R.J., Tarquis A.M. Quantifying a soil pore distribution from 3D images: multifractal spectrum through wavelet approach. Geoderma 2010, 155:203-210.
28. Rasiah V., Aylmore L.A.G. Characterizing the changes in soil porosity by computed tomography and fractal dimension. Soil Sci. 1998, 163:203-211.
29. Rosch E., Mervis C. Family resemblance: studies in the internal structure of categories. Cogn. Psychol. 1975, 7(4):573-605.
30. Schlüter S., Weller U., Vogel H.J. Segmentation of X-ray microtomography images of soil using gradient masks. Comp. Geosci. 2010, 36:1246-1251.
31. Sezgin M., Sankur B. Survey over image thresholding techniques and quantitative performance evaluation. J. Electron. Imaging 2004, 13(1):146-165.
32. Soil Survey Staff Keys to Soil Taxonomy 2010, United State Department of Agriculture-Natural Resources Conservation Service, Washington, DC, USA. 11th ed.
33. Tarquis A.M., Heck R.J., Grau J.B., Fabregat J., Sanchez M.E., Antón J.M. Influence of thresholding in mass and entropy dimension of 3-D soil images. Nonlin. Processes Geophys. 2008, 15:881-891.
34. Tarquis A.M., Heck R.J., Andina A., Antón J.M. Pore network complexity and thresholding of 3-D soil images. Ecol. Complex. 2009, 6:230-239.
35. Tarquis A.M., Sanchez M.E., Antón J.M., Jimenez Juan, Saa-Requejo A., Andina D., Crawford J.W. Variation in spectral and mass dimension on three-dimensional soil image processing. Soil Sci. 2012, 177(2):88-97.
36. Udawatta Ranjith P., Anderson Stephen H., Gantzer Clark J., Garrett Harold E. Influence of prairie restoration on CT-measured soil pore characteristics. J. Environ. Qual. 2008, 37(1):219-228.
37. Unsal E., Dane J.H. Equivalent soil pore geometry to determine effective water permeability. Vadose Zone J. 2006, 5(4):1278-1280.
38. Vogel H.-J., Weller U., Schluter S. Quantification of soil structure based on Minkowski functions. Comput. Geosci. 2010, 36:1236-1245.
39. Wang W., Kravchenko A.N., Smucker A.J.M., Rivers M.L. Comparison of image segmentation methods in simulated 2D and 3D microtomographic images of soil aggregates. Geoderma 2011, 162:231-241.
40. Zhang Y.J. A survey on evaluation methods for image segmentation. Pattern Recogn. 1996, 29:1335-1346.
41. Zhang Y.J. A review of recent evaluation methods for image segmentation. International Symposium on Signal Processing and Its Applications, Kuala Lumpur, Malaysia, 13-16 August, 2001 2001, 148-151.