An automated simple algorithm for realistic pore network extraction from micro-tomography images

By Arash Rabbani, S. Jamshidi, S. Salehi. 2014

312 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Mechanics of Materials, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/01f505e5e30b40768bd98e8b8ac4b29e37aa5d23

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. J. Gostick
2. Bernard J. Geurts
3. D. Jafari
4. W. Wits

In Mechanics of Materials

1. J. Gostick
2. Bernard J. Geurts
3. D. Jafari
4. W. Wits

In Ocean Engineering

1. J. Gostick
2. Bernard J. Geurts
3. D. Jafari
4. W. Wits

Citations in the corpus

• Metal 3D-printed wick structures for heat pipe application: Capillary performance analysis (2018, methodology): “The minimum, maximum and average dimensions of pore sizes are characterized from several cross-section images (see Table 1), following the tool described in [68].”
• Versatile and efficient pore network extraction method using marker-based watershed segmentation. (2017, methodology): “[34] did not completely account for these artifacts, so the present algorithm includes steps to manage the spurious local maxima that give rise to the oversegmentation.”