InterSeg: a distributed image segmentation tool
Patrick Nigri Happ, Rodrigo S. Ferreira, Gilson Alexandre Ostwald Pedro da Costa, Raul Queiroz Feitosa, Cristiana Barbosa Bentes, Ricardo Farias, Pedro Achanccaray · 2016
Motivated by the rapidly increase of remote sensing data over the last years, this paper presents a tool designed for distributed image segmentation.InterSeg is able to handle efficiently very large high-resolution images using scalable distributed segmentation methods over computer clusters.Through a graphic user interface, InterSeg hides the distributed processing complexity, allowing the user to easily perform distributed image segmentation on a cloud-computing environment.Experiments carried out with the tool attest its potential scalability and its capability to exploit distributed processing over many cluster nodes.Moreover, as an opensource solution, the software can be extended with different segmentation algorithms and methods.