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All Journal Journal of Geoscience, Engineering, Environment, and Technology
Tangkulung, Tria Jessica
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Earth & Planetary Sciences Engineering Environmental Science Physics

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Semi-Automatic Segmentation of Igneous Rocks Thin Section Using SAGA: Application on Crystal Size Distribution (SCD) Based Residence Time Approximation Tangkulung, Tria Jessica; Terok, Johanes Timoty Jeremi; Nugroho, Rio Priandri; Hidayat, Muh Nur
Journal of Geoscience, Engineering, Environment, and Technology Special Issue from The 2nd International Conference on Upstream Energy Technology and Digitalization
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.1.1.24271

Abstract

Crystal Size Distribution (CSD) is a quantitative method used to assess magmatic processes such as cooling rates, crystallization durations, and crystal growth dynamics. Traditionally, mineral segmentation in CSD analysis is performed manually, which is labor-intensive, particularly for large datasets. This study investigates a semi-automatic segmentation approach to improve efficiency in analyzing thin sections of igneous rocks. The segmentation process is divided into two methods: semi-automatic segmentation using SAGA software and manual segmentation for validation. The analysis focuses on phenocrysts (>0.2 mm) and microphenocrysts (0.2–<0.02 mm), with images taken using a polarizing microscope at 4x magnification. While the semi-automatic method showed limitations due to the thin section texture and the inherent characteristics of the OBIA algorithm, it proved effective in estimating magma residence time with an average absolute error of 0.4 years. Additionally, the method demonstrated a mean regression gradient error of 79% for microphenocrysts and 55% for phenocrysts, supporting its application in magma dynamics interpretation. This approach enhances the practicality of CSD analysis, particularly in large datasets, and provides a valuable tool for studying crystallization processes in igneous rocks. However, direct application for interpreting magma dynamic should be done with caution.
Co-Authors Hidayat, Muh Nur Nugroho, Rio Priandri Terok, Johanes Timoty Jeremi