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Image Processing with Cellular Neural Networks in Python. Cellular Neural Networks (CNN) are a parallel computing paradigm that was first proposed in 1988. Cellular neural networks are similar to neural networks, with the difference that communication is allowed only between neighboring units. Image Processing is one of its applications. CNN processors were designed to perform image processing; specifically, the original application of CNN processors was to perform real-time ultra-high frame-rate (>10,000 frame/s) processing unachievable by digital processors.
Features
- This python library is the implementation of CNN for the application of Image Processing
- Documentation available
- Examples provided
- The library is supported for Python >= 2.7 and Python >= 3.3
- Scipy and Numpy can be installed on a Windows machines using binaries
- Grayscale Edge Detection
- General image processing
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MIT LicenseFollow PyCNN
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