Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/2722
Title: WaterBalloons: a hybrid watershed balloon snake segmentation
Authors: Dagher, Issam 
Tom, Kamal El
Affiliations: Department of Computer Engineering 
Keywords: Merging
Surface topography
Pixel
Active contours
Surface morphology
Object detection
Optimization methods
Underwater tracking
Subjects: Image segmentation
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.
Description: 
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

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