caa a22 4500 463177762 CHVBK 20180406164830.0 cr unu---uuuuu 170326e20071201xx s 000 0 eng 10.1007/s10596-007-9051-0 doi (NATIONALLICENCE)springer-10.1007/s10596-007-9051-0 Utilisation of the image analysis method for the detection of the morphological anisotropy of calcite grains in marble [Elektronische Daten] [Boguslaw Obara, Alena Kožušníková] This paper presents the development and utilisation of an automated image processing algorithm for detection and analysis of grains. Using optical polarising microscopy, a set of colored images are collected from an area on a thin section. A filtering operation, using rotation of a morphological alternating sequence filter (based on a structuring element), is used to remove twinning features within individual grains. Filtering is followed by the watershed segmentation technique to determine grain boundaries. The method is used for the identification of calcite grains in marble and the subsequent analysis of morphological anisotropy. Springer Science+Business Media B.V., 2007 Grain boundaries nationallicence Image processing and analysis nationallicence Microscopy nationallicence Morphological anisotropy nationallicence Rock structure nationallicence Obara Boguslaw Strata Mechanics Research Institute, Polish Academy of Sciences, Reymonta 27, PL 30-059, Krakow, Poland aut Kožušníková Alena Institute of Geonics, Academy of Sciences of the Czech Republic, Studentská 1768, 708 00, Ostrava-Poruba, Czech Republic aut Computational Geosciences Springer Netherlands 11/4(2007-12-01), 275-281 1420-0597 11:4<275 2007 11 10596 https://doi.org/10.1007/s10596-007-9051-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10596-007-9051-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Obara Boguslaw Strata Mechanics Research Institute, Polish Academy of Sciences, Reymonta 27, PL 30-059, Krakow, Poland aut NATIONALLICENCE 700 1- Kožušníková Alena Institute of Geonics, Academy of Sciences of the Czech Republic, Studentská 1768, 708 00, Ostrava-Poruba, Czech Republic aut NATIONALLICENCE 773 0- Computational Geosciences Springer Netherlands 11/4(2007-12-01), 275-281 1420-0597 11:4<275 2007 11 10596 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer