InterSeg: a distributed image segmentation tool

P.N. Happ, R.S. Ferreira, G.A.O.P. Costa, R.Q. Feitosa, C. Bentes, R. Farias, P.M. Achanccaray*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Downloads (Pure)


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.
Original languageEnglish
Title of host publicationProceedings of GEOBIA 2016 : Solutions and synergies, 14-16 September 2016, Enschede, Netherlands
EditorsN. Kerle, M. Gerke, S. Lefevre
Place of PublicationEnschede
PublisherUniversity of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)
Number of pages5
ISBN (Print)978-90-365-4201-2
Publication statusPublished - 14 Sep 2016
Externally publishedYes
Event6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016: Solutions & Synergies - University of Twente Faculty of Geo-Information and Earth Observation (ITC), Enschede, Netherlands
Duration: 14 Sep 201616 Sep 2016
Conference number: 6


Conference6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016
Abbreviated titleGEOBIA
Internet address


Dive into the research topics of 'InterSeg: a distributed image segmentation tool'. Together they form a unique fingerprint.

Cite this