Estimation of pores via artificial pore intersections

Irving Martinez; Ute Hahn; Jens Nygaard; Catalina Suarez Londoño

doi:10.5566/ias.3970

Authors

Irving Martinez Aarhus University
Ute Hahn Aarhus University
Jens Nygaard Aarhus University
Catalina Suarez Londoño Aarhus University

DOI:

https://doi.org/10.5566/ias.3970

Abstract

Pores are ubiquitous in nature and tend to be extremely complex. Watershed is standard imaging tool in many applications for pore estimation because of its efficiency to capture closed pores. However, oftentimes materials do not have clearly delineated borders, making it difficult to properly pinpoint pore centers and characterize the material structure. With solid understanding of the porous behavior of materials, digital recreations of media can be more precise and suitable for simulations. We introduce a complementary technique involving artificial pores to obtain improved porosity insight. Through sub-windows of an image, we can detect the likelihood of a sub-window containing a pore or an intersection of pores. For the latter classification, we bridge the gap in the pore intersection, so as to separate the pores distinctly. Finally, we demonstrate that this methodology is particularly useful for pore detection when borders are not visible.

Author Biography

Ute Hahn, Aarhus University

Associate Professor, Mathematics Department

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