Imaging framework: An interoperable and extendable connector for image-related Java frameworks

The number of computer vision and image processing tasks has increased during the last years. Although Python is most of the time the first choice in this area, there are situations, where the utilization of another programming language such as Java should be preferred. For this reason, multiple Java based frameworks as e.g. OpenIMAJ, ND4J or multiple OpenCV wrappers are available. Unfortunately, these frameworks are not interoperable at all. In this work, the open-source Imaging Framework is introduced to solve exactly this problem. The project features a concept for combining multiple frameworks and provides an interoperable and extendable foundation to 9 image-related projects with 10 different image representations in Java. (C) 2021 The Authors. Published by Elsevier B.V.

Automated summary

The paper introduces the open-source Imaging Framework, which addresses the interoperability issue among multiple Java-based frameworks and provides an extendable foundation for handling and combining different image projects.