PetroSeg

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 quote 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.e22.1594PetroSeg是一款易用的无监督图像分割Web应用，尤其针对岩石薄片图像与显微分析场景进行了优化。该应用基于Streamlit与PyTorch开发，支持用户上传图像、调整分割色块颜色并下载分割结果。最新版本集成了TensorFlow与Tkinter，以打造更出色且直观的用户界面。 该应用的引用格式如下： Azzam, F., Blaise, T., & Brigaud, B. (2024). 基于监督与无监督机器学习方法的自动化岩相图像分析. Sedimentologika, 2(2). https://doi.org/10.57035/journals/sdk.2024.e22.1594