Vision with Generic Algorithms – An Image Processing Library
VIGRA (Vision with Generic Algorithms) is an open-source C++ library designed for high-performance image processing and computer vision. It focuses on flexibility, efficiency, and reusable generic algorithms.
Provides tools for filtering, smoothing, edge detection, noise reduction, and other image enhancement operations.
Helps divide images into meaningful regions, widely used in medical imaging and scientific analysis.
Extracts useful information such as texture, shape, and intensity features from images.
Includes classifiers and learning utilities that support machine learning-based image analysis.
VIGRA is built using generic programming concepts, allowing the same algorithms to work efficiently with different data types and image formats.
It is written in C++ for performance and also provides Python bindings, making it accessible to both C++ and Python developers.