Application of Deep Learning and Computer Vision in Petrographic Images Analysis

Dear Colleagues,

Artificial intelligence and computer vision are becoming indispensable components of our everyday life. This is also particularly true in the case of scientific research, where the application of their achievements not only supports work automation but also creates opportunities for discoveries not possible before.

One such scientific field where computer vision and in particular deep learning is being more and more present is in the analysis of petrographic images. Mineral identification, segmentation, and autonomous interpretation of the thin section petrographic images are only a few examples of many potentials (and nowadays ongoing) applications. Therefore, in this Special Issue, we aim to include original and recent work or reviews in the form of methodologies, technologies, or applications of computer vision and that demonstrate a particular focus on deep learning in petrography. The wide and important area of image analysis via the use of artificial intelligence methods is an exciting field of research. We believe that this Special Issue will be an excellent place to share the research results. We welcome manuscripts relating, but not limited to, the following areas: artificial intelligence, computer vision, deep learning, object detection, image segmentation, petrographic images analysis, maceral images analysis, and microscopic images of mineral matter analysis.

Dr. Sebastian Iwaszenko
Guest Editor

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