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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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