Classical Mechanics Optimization for image segmentation

DC FieldValueLanguage
dc.contributor.authorKhamoudj, Charaf eddine
dc.contributor.authorBenatchba, Karima
dc.contributor.authorKechadi, Tahar
dc.date.accessioned2016-09-07T15:37:28Z
dc.date.issued2016-06-14
dc.identifier.urihttp://hdl.handle.net/10197/7894
dc.descriptionInternational Conference on Swarm Intelligence Based Optimization: Theoretical Advances and Real World Application (ICSIBO’2016), UHA, Mulhouse, France, 13-14 June 2016en
dc.description.abstractIn this work, we focus on image segmentation by simulating the natural phenomenon of the bodies moving through space. For this, a subset of image pixels is regularly selected as planets and the rest as satellites. The attraction force is defined by Newton’s third law (gravitational interaction) according to the distance and color similarity. In the first phase of the algorithm, we seek an equilibrium state of the earth-moon system in order to achieve the second phase, in which we search an equilibrium state of the earth-apple system. As a result of these two phases, bodies in space are constructed; they represent segments in the image. The objective of this simulation is to find and then extract the multiple segments from an image.en
dc.language.isoenen
dc.relation.ispartofICSIBO 2016: Swarm Intelligence Based Optimization
dc.relation.ispartofseriesLecture Notes in Computer Science book series (LNCS, volume 10103)
dc.subjectOptimisationen
dc.subjectDecision analyticsen
dc.subjectImage segmentationen
dc.subjectCombinatorial optimizationen
dc.subjectMetaheuristicen
dc.subjectClassical mechanics optimizationen
dc.subjectArtificial intelligenceen
dc.titleClassical Mechanics Optimization for image segmentationen
dc.typeConference Publicationen
dc.internal.webversionshttp://www.mage.fst.uha.fr/icsibo2016/-
dc.statusPeer revieweden
dc.identifier.doi10.1007/978-3-319-50307-3_8-
dc.neeo.contributorKhamoudj|Charaf eddine|aut|-
dc.neeo.contributorBenatchba|Karima|aut|-
dc.neeo.contributorKechadi|Tahar|aut|-
dc.date.embargo2018-06-14
dc.date.updated2016-08-17T08:43:01Z
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:Computer Science Research Collection
Insight Research Collection
Files in This Item:
File Description SizeFormat 
insight_publication.pdf643.11 kBAdobe PDFDownload
Show simple item record

SCOPUSTM   
Citations 50

1
Last Week
0
Last month
checked on Sep 12, 2020

Page view(s)

1,161
Last Week
2
Last month
14
checked on Oct 24, 2020

Download(s)

140
checked on Oct 24, 2020

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.