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Open AccessArticle

A New Cluster Analysis-Marker-Controlled Watershed Method for Separating Particles of Granular Soils

Department of Civil Engineering, Monash University, Melbourne, Victoria 3800, Australia
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Materials 2017, 10(10), 1195; https://doi.org/10.3390/ma10101195
Received: 15 September 2017 / Revised: 11 October 2017 / Accepted: 15 October 2017 / Published: 18 October 2017
(This article belongs to the Section Structure Analysis and Characterization)
An accurate determination of particle-level fabric of granular soils from tomography data requires a maximum correct separation of particles. The popular marker-controlled watershed separation method is widely used to separate particles. However, the watershed method alone is not capable of producing the maximum separation of particles when subjected to boundary stresses leading to crushing of particles. In this paper, a new separation method, named as Monash Particle Separation Method (MPSM), has been introduced. The new method automatically determines the optimal contrast coefficient based on cluster evaluation framework to produce the maximum accurate separation outcomes. Finally, the particles which could not be separated by the optimal contrast coefficient were separated by integrating cuboid markers generated from the clustering by Gaussian mixture models into the routine watershed method. The MPSM was validated on a uniformly graded sand volume subjected to one-dimensional compression loading up to 32 MPa. It was demonstrated that the MPSM is capable of producing the best possible separation of particles required for the fabric analysis. View Full-Text
Keywords: X-ray CT imaging; granular soils; particle separation; watershed method X-ray CT imaging; granular soils; particle separation; watershed method
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Alam, M.F.; Haque, A. A New Cluster Analysis-Marker-Controlled Watershed Method for Separating Particles of Granular Soils. Materials 2017, 10, 1195.

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