Título: A variational shape optimization approach for image segmentation with a Mumford-Shah functional
Autores: Gunay Dogan; University of Pennsylvania
Pedro Morin; IMAL-CONICET-UNL
Ricardo H. Nochetto
Fecha: 2006-06-24
Publicador: Cuadernos de Matemática y Mecánica
Fuente:
Tipo: Articles

Tema: No aplica
Descripción: We introduce a novel computational method for a Mumford-Shah functional, which decomposes a given image into smooth regions separated by closed curves. Casting this as a shape optimization problem, we develop a gradient descent approach at the continuous level that yields non-linear PDE flows. We propose time discretizations that linearize the problem, and space discretization by continuous piecewise linear finite elements. The method incorporates topological changes, such as splitting and merging for detection of multiple objects, space-time adaptivity and a coarse-to-fine approach to process large images efficiently. We present several simulations that illustrate the performance of the method, and investigate the model sensitivity to various parameters. Keywords: image segmentation, Mumford-Shah, shape optimization, finite element method AMS Subject Classifications: 49M15,49M25,65D15,65K10,68T45,90C99 Published: SIAM Journal on Scientific Computing 30 (2008), no. 6, 3028--3049.
Idioma: Inglés

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