Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/72948
Title: A new variational image restoration applied to 3D angiographies
Authors: Krissian , Karl 
UNESCO Clasification: 120601 Construcción de algoritmos
220990 Tratamiento digital. Imágenes
120304 Inteligencia artificial
Keywords: 3D angiographies
Restoration
Segmentation
Variational approach
Issue Date: 2001
Conference: 1st IEEE Workshop on Variational and Level Set Methods in Computer Vision 
Abstract: We propose a new variational restoration method. We express the energy as the sum of a data attachment term. A contour smoothing term and an enhancement term. The contour smoothing is achieved by minimizing the square of the derivative of the intensity in the contour direction. The enhancement is obtained by minimizing the square of the gradient norm in each estimated region, and acts like shock filters. The minimization of the energy is then done using the conjugate gradient algorithm. We present an algorithm which allows us to compute easily the gradient of the energy in the discrete case, without calculating the Euler-Lagrange equations. Experiments have been carried out on both synthetic and real images applied to 3D angiographies.
URI: http://hdl.handle.net/10553/72948
ISBN: 0-7695-1278-X
DOI: 10.1109/VLSM.2001.938883
Source: Proceedings - IEEE Workshop on Variational and Level Set Methods in Computer Vision, VLSM 2001, p. 65-72, (Enero 2001)
Appears in Collections:Actas de congresos
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