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

doi:10.3990/2.450

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 proceeding › Conference contribution › Academic › peer-review

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Abstract

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 language	English
Title of host publication	Proceedings of GEOBIA 2016 : Solutions and synergies, 14-16 September 2016, Enschede, Netherlands
Editors	N. Kerle, M. Gerke, S. Lefevre
Place of Publication	Enschede
Publisher	University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)
Number of pages	5
ISBN (Print)	978-90-365-4201-2
DOIs	https://doi.org/10.3990/2.450
Publication status	Published - 14 Sept 2016
Externally published	Yes
Event	6th 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 Sept 2016 → 16 Sept 2016 Conference number: 6 https://www.geobia2016.com/

Conference

Conference	6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016
Abbreviated title	GEOBIA
Country/Territory	Netherlands
City	Enschede
Period	14/09/16 → 16/09/16
Internet address	https://www.geobia2016.com/

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Happ-InterSeg-60Final published version, 475 KB

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GEOBIA 2016 : Solutions and Synergies., 14-16 September 2016, University of Twente Faculty of Geo-Information and Earth Observation (ITC): open access e-book
Kerle, N. (Editor), Gerke, M. (Editor) & Lefèvre, S. (Editor), 2016, Enschede: University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC).
Research output: Book/Report › Book › Academic

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Happ, P. N., Ferreira, R. S., Costa, G. A. O. P., Feitosa, R. Q., Bentes, C., Farias, R., & Achanccaray, P. M. (2016). InterSeg: a distributed image segmentation tool. In N. Kerle, M. Gerke, & S. Lefevre (Eds.), Proceedings of GEOBIA 2016 : Solutions and synergies, 14-16 September 2016, Enschede, Netherlands University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://doi.org/10.3990/2.450

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title = "InterSeg: a distributed image segmentation tool",

abstract = "Motivated by the rapidly increase of remote sensing data over the last years, this paper presents a tool designed for distributed imagesegmentation. InterSeg is able to handle efficiently very large high-resolution images using scalable distributed segmentationmethods over computer clusters. Through a graphic user interface, InterSeg hides the distributed processing complexity, allowing theuser to easily perform distributed image segmentation on a cloud-computing environment. Experiments carried out with the toolattest 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.",

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isbn = "978-90-365-4201-2",

editor = "N. Kerle and M. Gerke and S. Lefevre",

booktitle = "Proceedings of GEOBIA 2016 : Solutions and synergies, 14-16 September 2016, Enschede, Netherlands",

publisher = "University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)",

note = "6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016 : Solutions & Synergies, GEOBIA ; Conference date: 14-09-2016 Through 16-09-2016",

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Happ, PN, Ferreira, RS, Costa, GAOP, Feitosa, RQ, Bentes, C, Farias, R & Achanccaray, PM 2016, InterSeg: a distributed image segmentation tool. in N Kerle, M Gerke & S Lefevre (eds), Proceedings of GEOBIA 2016 : Solutions and synergies, 14-16 September 2016, Enschede, Netherlands. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Enschede, 6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016, Enschede, Netherlands, 14/09/16. https://doi.org/10.3990/2.450

InterSeg: a distributed image segmentation tool. / Happ, P.N.; Ferreira, R.S.; Costa, G.A.O.P. et al.
Proceedings of GEOBIA 2016 : Solutions and synergies, 14-16 September 2016, Enschede, Netherlands. ed. / N. Kerle; M. Gerke; S. Lefevre. Enschede: University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), 2016.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - InterSeg

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AU - Happ, P.N.

AU - Ferreira, R.S.

AU - Costa, G.A.O.P.

AU - Feitosa, R.Q.

AU - Bentes, C.

AU - Farias, R.

AU - Achanccaray, P.M.

N1 - Conference code: 6

PY - 2016/9/14

Y1 - 2016/9/14

N2 - Motivated by the rapidly increase of remote sensing data over the last years, this paper presents a tool designed for distributed imagesegmentation. InterSeg is able to handle efficiently very large high-resolution images using scalable distributed segmentationmethods over computer clusters. Through a graphic user interface, InterSeg hides the distributed processing complexity, allowing theuser to easily perform distributed image segmentation on a cloud-computing environment. Experiments carried out with the toolattest 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.

AB - Motivated by the rapidly increase of remote sensing data over the last years, this paper presents a tool designed for distributed imagesegmentation. InterSeg is able to handle efficiently very large high-resolution images using scalable distributed segmentationmethods over computer clusters. Through a graphic user interface, InterSeg hides the distributed processing complexity, allowing theuser to easily perform distributed image segmentation on a cloud-computing environment. Experiments carried out with the toolattest 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.

U2 - 10.3990/2.450

DO - 10.3990/2.450

M3 - Conference contribution

SN - 978-90-365-4201-2

BT - Proceedings of GEOBIA 2016 : Solutions and synergies, 14-16 September 2016, Enschede, Netherlands

A2 - Kerle, N.

A2 - Gerke, M.

A2 - Lefevre, S.

PB - University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)

CY - Enschede

Y2 - 14 September 2016 through 16 September 2016

ER -

Happ PN, Ferreira RS, Costa GAOP, Feitosa RQ, Bentes C, Farias R et al. InterSeg: a distributed image segmentation tool. In Kerle N, Gerke M, Lefevre S, editors, Proceedings of GEOBIA 2016 : Solutions and synergies, 14-16 September 2016, Enschede, Netherlands. Enschede: University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). 2016 doi: 10.3990/2.450

InterSeg: a distributed image segmentation tool

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Research output

GEOBIA 2016 : Solutions and Synergies., 14-16 September 2016, University of Twente Faculty of Geo-Information and Earth Observation (ITC): open access e-book

Cite this