Computation of the M-tortuosity estimator for the characterization of 2D images and 3D volumes: a scalable topological descriptor providing a 3D map of mean tortuosities, a set of M-coefficients, of which the histogram is meaningful, and a final scalar value, the M-scalar, assessing the geometric tortuosity of the overall microstructure. This descriptor is based on a Monte Carlo process, handles disconnections and, is applicable on complex multi-scale microstructures.
Real images, from electron tomography for instance, with a meaningless void can be described now.
More details can be found using the links below.
19/11/21: gathering of 2D and 3D plug-ins


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