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A foundation model for rock thin-section images analysis.

Jiansong Fan1, Xiaolu Yu2,3, Yicheng Di1

  • 1School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, JiangSu, China.

Communications Engineering
|December 6, 2025
PubMed
Summary
This summary is machine-generated.

RoImAI, a new AI model, automates rock thin-section analysis for geology. It precisely segments and identifies rock particles, significantly improving efficiency and accuracy over traditional methods.

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Area of Science:

  • Geoscience and Mineralogy
  • Artificial Intelligence in Scientific Research
  • Image Analysis and Machine Learning

Background:

  • Traditional rock thin-section analysis relies on subjective, time-consuming expert visual inspection.
  • The increasing volume of geological data necessitates automated analysis methods.
  • Existing methods lack the speed and precision required for modern research.

Purpose of the Study:

  • To introduce RoImAI, a vision foundation model for automated rock thin-section image analysis.
  • To enable rapid and precise segmentation, identification, and lithology report generation.
  • To overcome the limitations of manual analysis in geological research.

Main Methods:

  • Development of RoImAI, a Transformer-based deep learning model.
  • Creation of a large-scale dataset (30,336 images, ~2 million particles) from diverse geological regions.
  • Implementation of a hierarchical classification strategy for accurate particle identification.

Main Results:

  • RoImAI achieves high-precision segmentation across multi-center, diverse geological datasets.
  • The model accurately identifies rock particles using a hierarchical classification approach.
  • RoImAI demonstrates superior efficiency and accuracy compared to human experts in generating lithology reports.

Conclusions:

  • RoImAI offers a powerful, automated solution for rock thin-section image analysis.
  • The model's intelligent capabilities facilitate the processing of large volumes of geological image data.
  • RoImAI significantly advances geological and mineralogical research through enhanced analytical precision and speed.