Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/2722
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dc.contributor.authorDagher, Issamen_US
dc.contributor.authorTom, Kamal Elen_US
dc.date.accessioned2020-12-23T09:19:16Z-
dc.date.available2020-12-23T09:19:16Z-
dc.date.issued2008-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/2722-
dc.descriptionThis paper was presented in " Proceedings of International Conference on Neural networks. August 12-17, 2007. Orlando, USA ".en_US
dc.description.abstractIn this paper, a new image segmentation technique called WaterBalloons is introduced. It combines both Watershed segmentation and the Active Contour Model known as Balloon Snake. The Watershed transform has a major problem of over-segmentation. Solutions like Region merging, use of markers, use of multi-scales have been proposed. These approaches led to other problems such as under-segmentation. The Balloon Snake in an innovative approach that detects salient objects in an image. But in general Snakes are very sensitive to initialization and need user interactions and a-priori knowledge of objects to segment. WaterBalloons provide the advantage of reducing watershed over-segmentation problems while preventing under-segmentation and ensure automatic initialization of traditional snakes. In addition, a method for parameter optimization of the proposed hybrid snake is introduced based on energy transitions tracking.en_US
dc.format.extent7 p.en_US
dc.language.isoengen_US
dc.subjectMergingen_US
dc.subjectSurface topographyen_US
dc.subjectPixelen_US
dc.subjectActive contoursen_US
dc.subjectSurface morphologyen_US
dc.subjectObject detectionen_US
dc.subjectOptimization methodsen_US
dc.subjectUnderwater trackingen_US
dc.subject.lcshImage segmentationen_US
dc.subject.lcshNeural networks (Computer science)en_US
dc.titleWaterBalloons: a hybrid watershed balloon snake segmentationen_US
dc.typeJournal Articleen_US
dc.contributor.affiliationDepartment of Computer Engineeringen_US
dc.description.volume26en_US
dc.description.issue7en_US
dc.description.startpage905en_US
dc.description.endpage912en_US
dc.date.catalogued2017-11-10-
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4370921en_US
dc.identifier.OlibID174883-
dc.relation.ispartoftextImage and vision computingen_US
dc.provenance.recordsourceOliben_US
crisitem.author.parentorgFaculty of Engineering-
Appears in Collections:Department of Computer Engineering
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