Computation of the M-tortuosity estimator for the characterization of 2D images: a scalable topological descriptor providing a 2D 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.
23/09/20: bugs correction
29/09/20: update
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