scholarly journals Quantitative petrography: approaches and applications

Author(s):  
Alena A. Taeubner ◽  
Vladimir P. Samodurov

Quantitative petrography is a scientific and industrial direction of geology, which made huge progress due to developments and inventions in information technology and optics in the last decade. This article is introducing the modern and scientific directions of quantitative petrography and describes their current state of art as well as methodical approaches and their application. The research objects of quantitative macropetrography are hand specimens, borehole cores and polished tiles, and of micropetrography are thin and polished sections of rocks samples, splitted rock surfaces and immersion preparations. The goal of the research is to develop and present new methodological approaches of digital microscopy for the analysis of ores, rocks and minerals, as well as to investigate the morphological image analysis capabilities for the transforming from the classical description methods to quantitative petrography.

2001 ◽  
Vol 347 (6) ◽  
pp. 461-538 ◽  
Author(s):  
K. Michielsen ◽  
H. De Raedt

Author(s):  
Y. V. Vizilter ◽  
S. Y. Zheltov ◽  
M. A. Lebedev

Abstract. A lot of image matching applications require image comparison to be invariant relative to intensity values variations. The Pyt’ev theory for Morphological Image Analysis (MIA) was developed based on image-to-shape matching with mosaic shape models. Within the framework of this theory, the problem of shape-to-shape comparison was previously considered too. The most sophisticated and weakest part of MIA theory is the comparison of mosaic shapes with some arbitrary restrictions described by graphs or relations. In this paper we consider the possible options for comparing images and shapes using morphological projection and morphological correlation. Our contribution is a new scheme of morphological shape-to-image projection and, correspondingly, the new morphological correlation coefficient (MCC) for shape-to-image correlation with restricted mosaic models. We also refine the expressions for shape-to-shape comparison.


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