Surface Regularity via the Estimation of Fractional Brownian Motion Index.
IEEE Trans Image Process
; 30: 1453-1460, 2021.
Article
en En
| MEDLINE
| ID: mdl-33326381
ABSTRACT
The recent definition of fractional Brownian motions on surfaces has raised the statistical issue of estimating the Hurst index characterizing these models. To deal with this open issue, we propose a method which is based on a spectral representation of surfaces built upon their Laplace-Beltrami operator. This method includes a first step where the surface supporting the motion is recovered using a mean curvature flow, and a second one where the Hurst index is estimated by linear regression on the motion spectrum. The method is evaluated on synthetic surfaces. The interest of the method is further illustrated on some fetal cortical surfaces extracted from magnetic resonance images as a means to quantify the brain complexity during the gestational age.
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Propiedades de Superficie
/
Procesamiento de Imagen Asistido por Computador
/
Movimiento
Límite:
Humans
Idioma:
En
Año:
2021
Tipo del documento:
Article