Abstract

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.

Original languageEnglish
Article number100863
JournalSoftwareX
Volume16
DOIs
Publication statusPublished - Dec 2021

Keywords

  • Computer vision
  • Image processing
  • Interoperability and extendability
  • Java

Fingerprint

Dive into the research topics of 'Imaging framework: An interoperable and extendable connector for image-related Java frameworks'. Together they form a unique fingerprint.

Cite this