PetroSeg
Sigle : PS
Licence : Creative Commons Attribution
Fréquence de mise à jour : punctual
Mots-clés : image-analysis,image-segmentation,microscopy,petrology,thin-sections,unsupervised-segmentation

PetroSeg is a user-friendly web application for unsupervised image segmentation, particularly optimized for thin section images and microscopic analysis. Developed with Streamlit and PyTorch, this application enables users to upload images, adjust segment colors, and download segmented outputs. The latest version incorporates TensorFlow and Tkinter for an enhanced, intuitive user interface.

Please cite the app as follow: 
Azzam, F., Blaise, T., & Brigaud, B. (2024). Automated petrographic image analysis by supervised and unsupervised machine learning methods. Sedimentologika, 2(2). https://doi.org/10.57035/journals/sdk.2024.e22.1594