A C++ implementation of the Laplacian edge detection filter compiled as a shared library and wrapped with Python ctypes for easy integration.

.
├── laplacian.cpp           # C source with Laplacian filter implementation
├── liblaplacian.dylib      # Compiled shared library (macOS)
├── laplacian_wrapper.py    # Python wrapper using ctypes
└── image-ex.jpg            # Example image for testing

1. C++ Core (laplacian.cpp)

   • Implements the Laplacian kernel: 3x3 convolution matrix
   • Processes grayscale image data as flat array
   • Returns filtered image with edge detection applied
   • Compiled as shared library for cross-language usage

2. Python Wrapper (laplacian_wrapper.py)

   • Loads the compiled C++ library using ctypes
   • Converts PIL images to numpy arrays
   • Calls C++ filter function with image data
   • Returns results as numpy arrays for matplotlib visualization

3. Data Flow

   Image File (JPG) → PIL Load → Grayscale Convert → NumPy Array
   → C++ Filter via ctypes → Filtered NumPy Array → Matplotlib Display
   

• Python 3.6+
• NumPy
• Pillow
• Matplotlib

from laplacian_wrapper import laplacian, show

# Get filtered image
original, filtered = laplacian('image-ex.jpg')

# Display side by side
show('image-ex.jpg')

g++ -shared -fPIC -o liblaplacian.dylib laplacian.cpp -std=c++11