amr1235/image-extract-features

For given set of images (grayscale and color). we can extract the unique features in all images using Harris operator and λ-, generate feature descriptors using scale invariant features (SIFT), and matching the image set features using sum of squared differences (SSD) and normalized cross correlations.

Feature extraction

For given set of images (grayscale and color). we can extract the unique features in all images using Harris operator and λ-, generate feature descriptors using scale invariant features (SIFT), and matching the image set features using sum of squared differences (SSD) and normalized cross correlations.

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Setup

1. From the command line create a virtual environment and activate.

# Windows
> python -m venv .venv
> .venv\Scripts\activate

# Linux
> python3 -m venv .venv
> source .venv/bin/activate

2. Install the dependencies.

> pip install -r requirements.txt

3. Run the application.

> python APP.py