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This repository was archived by the owner on Oct 27, 2026. It is now read-only.
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A software that can segmant and extract features from point cloud data

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Point-SegCloud 🌐 (Archived)

Archived project: This project was developed during my internship at IIST. Development has now stopped, and I no longer plan to continue maintaining or improving it. I'm preserving this repository as an archive of my work during that period.

Although active development has ended, the available releases may still be useful for people working with older versions of the software or needing its existing functionality. You can download the MSI installer from the Releases page.

Point-SegCloud is a GUI-based software developed in C++ for researchers working with aerial point cloud data. It enables segmentation of point clouds, extraction of features, and storage of segmented data into separate files, allowing detailed data analysis.

✨ Features

  • 📌 Point Cloud Segmentation – Automatically segments aerial point cloud data into distinct components.
  • 📊 Feature Extraction – Extracts meaningful features from the segmented data for research and analysis.
  • 📁 Data Export – Saves segmented data and extracted features into separate files for further processing.
  • 🖥️ Easy-to-Use GUI – Provides an interactive user interface for efficient workflow.

📥 Download & Installation

  1. Download the latest release from the Releases page.
  2. Run the MSI Installer and follow the on-screen instructions to install the software.
  3. Launch Point-SegCloud and start working with point cloud data.

🚀 Usage

  1. Load Point Cloud Data

    • Open the software and use the ‘Open File’ option to load your aerial point cloud dataset.
  2. Segment Point Cloud

    • Utilize segmentation tools in the GUI to divide the point cloud into meaningful components.
  3. Extract Features

    • Apply built-in feature extraction algorithms to analyze the segmented data.
  4. Export Data

    • Save the segmented data and extracted features in separate files for further research and processing.

🤝 Contributing

Contributions are welcome! If you’d like to contribute:

  1. Fork the repository.
  2. Create a new branch (git checkout -b feature-branch).
  3. Commit your changes (git commit -m 'Add new feature').
  4. Push to the branch (git push origin feature-branch).
  5. Open a Pull Request.

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A software that can segmant and extract features from point cloud data

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