Image-Processing App

🔗 Introduction

Image-Processing App is a comprehensive tool designed to streamline the process of Digital Image Processing (DIP). This project provides essential features for:

• Image Enhancement
• Image Restoration
• Morphological Processing
• Image Segmentation
• Object Recognition
• Color Processing
• Image Compression

Whether you're a researcher, developer, or enthusiast, this application aims to simplify your image processing tasks by integrating various tools in one platform.

This project offers two options for utilizing image processing tools:

1. Custom Algorithms: Use image processing algorithms written by the project creator to have more control and customization.
2. Pre-built OpenCV Functions: Leverage the powerful, well-optimized functions available in the OpenCV library for faster and more efficient processing.

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🎥 Demo

A simple demo video showcasing the core features of the Image-Processing App is available below:

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🖼️ Example Results

Below are an example results of image processing using the app:

• Histogram Equalization

Before	After

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🐳 Technologies Used

This project is built using Python, leveraging key libraries such as:

• FastAPI for building the backend API
• Uvicorn for running the asynchronous server
• Streamlit for creating an interactive frontend interface

Additional libraries for image processing and machine learning include:

• OpenCV
• NumPy
• Scikit-image
• Pillow

Recommended Python Version:

• It is highly recommended to use Python 3.10.0 for the best compatibility and performance.

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📝 Installation Guide

Follow these steps to set up the project on your local machine:

1. Clone the Repository

git clone https://github.com/Andree-02/Image-Processing.git
cd <repository path>

2. Install Dependencies

Ensure you have Python installed. Then, run the following command to install the required packages:

pip install -r requirements.txt

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🚀 How to Use

1. Start the Backend Server

Navigate to the project root directory and run the FastAPI backend server using Uvicorn:

cd Image-Processing
uvicorn server:app --port 8000 --reload

This will start the API server at http://localhost:8000.

2. Launch the Frontend Interface

Navigate to the FE directory and run the Streamlit app:

cd FE
streamlit run Home.py

This will open a web-based user interface for interacting with the image processing tools.

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📲 Example Usage

Once both the backend and frontend are running:

1. Open your web browser and go to http://localhost:8501.
2. Upload an image through the interface.
3. Apply various processing techniques, such as enhancement, segmentation, or object recognition.

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🔧 Contributing

We welcome contributions to improve this project! Please follow the guidelines:

1. Fork the repository.
2. Create a new branch.
3. Commit your changes.
4. Open a pull request.

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📢 Contact

For any inquiries, feel free to reach out:

• Project Maintainer: Andree-02
• Email: trantientoan.wk@gmail.com

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🌟 Acknowledgments

Special thanks to the open-source community for providing invaluable tools and resources.