Semi-automatic segmentation of petrographic thin section images using a “seeded-region growing algorithm” with an application to characterize wheathered subarkose sandstone-Reference-Cited by-同舟云学术

Semi-automatic segmentation of petrographic thin section images using a “seeded-region growing algorithm” with an application to characterize wheathered subarkose sandstone

Published:2015-10 Issue: Volume:83 Page:89-99
ISSN:0098-3004
Container-title:Computers & Geosciences
language:en
Short-container-title:Computers & Geosciences

Author:

Asmussen Pascal,Conrad Olaf,Günther Andreas,Kirsch Moritz,Riller Ulrich

Funder

Hans–Joachim–Martini–Foundation

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Information Systems

Reference31 articles.

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4. Sandstone landforms shaped by negative feedback between stress and erosion;Bruthans;Nat. Geosci.,2014

5. Influence of granitoid textural parameters on sediment composition: implications for sediment generation;Caracciolo;Sediment. Geol.,2012

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