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Entropy of Shortest Distance (ESD) as Pore Detector and Pore-Shape Classifier
AbstractThe 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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Korvin, G.; Sterligov, B.; Oleschko, K.; Cherkasov, S. Entropy of Shortest Distance (ESD) as Pore Detector and Pore-Shape Classifier. Entropy 2013, 15, 2384-2397.View more citation formats
Korvin G, Sterligov B, Oleschko K, Cherkasov S. Entropy of Shortest Distance (ESD) as Pore Detector and Pore-Shape Classifier. Entropy. 2013; 15(6):2384-2397.Chicago/Turabian Style
Korvin, Gabor; Sterligov, Boris; Oleschko, Klaudia; Cherkasov, Sergey. 2013. "Entropy of Shortest Distance (ESD) as Pore Detector and Pore-Shape Classifier." Entropy 15, no. 6: 2384-2397.
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