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How to Train an image segmentation model? 

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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 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.


Through experiments, it is demonstrated that the image segmentation method in this paper is very effective.

A new method for image segmentation
01 Nov 2009  93 citations