Entropy of Shortest Distance (ESD) as Pore Detector and Pore-Shape Classifier

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...

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Main Authors: Klaudia Oleschko, Sergey Cherkasov, Gabor Korvin, Boris Sterligov
Format: Article
Language:English
Published: MDPI AG 2013-06-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/15/6/2384
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author Klaudia Oleschko
Sergey Cherkasov
Gabor Korvin
Boris Sterligov
author_facet Klaudia Oleschko
Sergey Cherkasov
Gabor Korvin
Boris Sterligov
author_sort Klaudia Oleschko
collection DOAJ
description 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.
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spelling doaj.art-6cb818ace5cf4e67a0eaaddcba2792942022-12-22T02:06:54ZengMDPI AGEntropy1099-43002013-06-011562384239710.3390/e15062384Entropy of Shortest Distance (ESD) as Pore Detector and Pore-Shape ClassifierKlaudia OleschkoSergey CherkasovGabor KorvinBoris SterligovThe 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.http://www.mdpi.com/1099-4300/15/6/2384pores entropysliding window entropynonlinear pore boundary enhancement
spellingShingle Klaudia Oleschko
Sergey Cherkasov
Gabor Korvin
Boris Sterligov
Entropy of Shortest Distance (ESD) as Pore Detector and Pore-Shape Classifier
Entropy
pores entropy
sliding window entropy
nonlinear pore boundary enhancement
title Entropy of Shortest Distance (ESD) as Pore Detector and Pore-Shape Classifier
title_full Entropy of Shortest Distance (ESD) as Pore Detector and Pore-Shape Classifier
title_fullStr Entropy of Shortest Distance (ESD) as Pore Detector and Pore-Shape Classifier
title_full_unstemmed Entropy of Shortest Distance (ESD) as Pore Detector and Pore-Shape Classifier
title_short Entropy of Shortest Distance (ESD) as Pore Detector and Pore-Shape Classifier
title_sort entropy of shortest distance esd as pore detector and pore shape classifier
topic pores entropy
sliding window entropy
nonlinear pore boundary enhancement
url http://www.mdpi.com/1099-4300/15/6/2384
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AT borissterligov entropyofshortestdistanceesdasporedetectorandporeshapeclassifier