🧠 Image Feature Descriptors Techniques

A computer vision project implementing and comparing various feature detection and description algorithms, including:

• SIFT (Scale-Invariant Feature Transform)
• Harris Corner Detector
• Lambda Minus |R| (λ - |R|) Method

This project provides both algorithmic implementations and a graphical user interface (GUI) for visualization and comparison.

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🛠️ Requirements

• Python 3.7+
• OpenCV (cv2)
• NumPy
• Matplotlib
• PyQt5 (for GUI)

Install dependencies:

pip install -r requirements.txt

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🚀 How to Run

Run All Feature Descriptors:

python main.py

The GUI allows users to select images and apply different feature detection algorithms for comparison.

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📸 Example Outputs

SIFT Algorithm

Feature Extraction

Feature Matching

Harris Operator

Lambda Minus

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📜 License

This project is licensed under the MIT License.

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👥 Contributors

• Ahmed Hajhamed
• Zeyad Wail Alshakhy
• Mohamed Ahmed
• Ahmed Etman