Variational image segmentation models: Application to medical images MRI

@article{Bara2011VariationalIS,
  title={Variational image segmentation models: Application to medical images MRI},
  author={Samir Bara and Mounir Ait Kerroum and Ahmed Hammouch and Driss Aboutajdine},
  journal={2011 International Conference on Multimedia Computing and Systems},
  year={2011},
  pages={1-4}
}
Image segmentation is an important branch of computer vision. Its aim is to extract meaningful lying in objects images, either by dividing images into contiguous semantic regions, or by extracting one or several objects more specific in images, such as medical structures. In general, image segmentation task is very difficult to achieve it since natural images are diverse, complex and the way we perceive them, vary according to individuals. More than a decade ago, a promising mathematical… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 17 references

DERICHE, Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space Rapport de recherche de l’INRIA

  • Mikal ROUSSON, Thomas BROX et Rachid
  • 2004
1 Excerpt

Snakes : Active contour models ”

  • Mikal ROUSSON, Thomas BROX
  • International Journal of Computer Vision , pages
  • 2004

VESE, Active contours without edges,2004

  • Tony F. CHAN et Luminita
  • 2004
1 Excerpt

Contribution lvaluation dalgorithmes de traitement dimages

  • V. Letournel
  • Thse de Doctorat de lENST,
  • 2002

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