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Compared with some classical image segmentation models, the proposed model has a better performance for the images contaminated by different noise levels.
The model achieved state-of-the-art segmentation performance.
Proceedings ArticleDOI
C. Lorenz, N. Krahnstover 
04 Oct 1999
46 Citations
The obtained shape model is well suited to support image segmentation tasks.
It is argued that the model can be employed for a broad scope of image segmentation problems of similar nature.
Results show that segmentation is an image dependent process and that some of the evaluated methods are well suited for a better segmentation.
The experimental results show that this method outperforms the existing model based image segmentation methods.
Proceedings ArticleDOI
01 Nov 2009
99 Citations
Through experiments, it is demonstrated that the image segmentation method in this paper is very effective.

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