What are the top 5 most popular libraries for image processing?
Image processing is a technique that captures, analyzes, and modifies images. It is widely used in various fields like medical imaging, remote sensing and digital photography.
OpenCV is a free open-source library that gives you access to algorithms for all the computer vision and image processing procedures you might need. It is not just a collection of algorithms, but also a programming infrastructure and framework that helps with tasks like loading images, saving images, drawing objects on an image etc.
Eigen is a C++ template library for linear algebra. It provides functionality related to matrix operations, vector operations, and linear algebra.
PCL is an open-source library of algorithms for point cloud processing tasks and 3D geometry processing. It is developed by the Open Source Geospatial Foundation (OSGeo) to provide a set of versatile and efficient geometric primitives, and a suite of algorithms that are key to creating high-quality digital elevation models, orthomosaics, digital surface models, and other standard products derived from satellite imagery are the backbone of geo-spatial intelligence (GEOINT) and provide a wide range of capabilities for military, civilian, and commercial applications.
Boost is a collection of free, peer-reviewed, portable C++ source libraries. The design goal is to provide key functionality in the areas of mathematics and data structures. All the libraries are available on GitHub with full documentation.
Theano A Python library that allows you to define, optimize, and evaluate mathematical expressions involving multiples types of data arrays efficiently.