Title :
WaterBalloons: A Hybrid Watershed Balloon Snake Segmentation
Author :
Dagher, Issam ; Tom, Kamal El
Author_Institution :
Univ. Of balamand, Beirut
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.
Keywords :
image segmentation; optimisation; active contour model; hybrid watershed balloon snake segmentation; parameter optimization; Active contours; Image segmentation; Merging; Neural networks; Object detection; Optimization methods; Pixel; Surface morphology; Surface topography; Underwater tracking;
Conference_Titel :
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-1379-9
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2007.4370921