Please use this identifier to cite or link to this item:
|Title:||WaterBalloons : A Hybrid Watershed Balloon Snake Segmentation||Authors:||Dagher, Issam
Tom, Kamal El
|Affiliations:||Department of Computer Engineering||Keywords:||Merging
Neural networks (Computer science)
|Issue Date:||2008||Part of:||Image and vision computing||Volume:||26||Issue:||7||Start page:||905||End page:||912||Abstract:||
In 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.
This paper was presented in " Proceedings of International Conference on Neural networks. August 12-17, 2007. Orlando, USA ".
|URI:||https://scholarhub.balamand.edu.lb/handle/uob/2722||Ezproxy URL:||Link to full text||Type:||Journal Article|
|Appears in Collections:||Department of Computer Engineering|
Show full item record
checked on Aug 14, 2021
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.