Entropy of shortest distance (ESD) as pore detector and pore-shape classifier

Gabor Korvin*, Boris Sterligov, Klaudia Oleschko, Sergey Cherkasov

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The entropy of shortest distance (ESD) between geographic elements ("elliptical intrusions", "lineaments", "points") on a map, or between "vugs", "fractures" and "pores" in the macro- or microscopic images of triple porosity naturally fractured vuggy carbonates provides a powerful new tool for the digital processing, analysis, classification and space/time distribution prognostic of mineral resources as well as the void space in carbonates, and in other rocks. The procedure is applicable at all scales, from outcrop photos, FMI, UBI, USI (geophysical imaging techniques) to micrographs, as we shall illustrate through some examples. Out of the possible applications of the ESD concept, we discuss in details the sliding window entropy filtering for nonlinear pore boundary enhancement, and propose this procedure as unbiased thresholding technique.

Original languageEnglish
Pages (from-to)2384-2397
Number of pages14
JournalEntropy
Volume15
Issue number6
DOIs
StatePublished - Jun 2013

ASJC Scopus subject areas

  • Information Systems
  • Mathematical Physics
  • Physics and Astronomy (miscellaneous)
  • General Physics and Astronomy
  • Electrical and Electronic Engineering

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