DocumentCode
250121
Title
Texture modeling by Gaussian fields with prescribed local orientation
Author
Polisano, Kevin ; Clausel, M. ; Perrier, Valerie ; Condat, L.
Author_Institution
Lab. Jean Kuntzmann, Univ. of Grenoble-Alpes, Grenoble, France
fYear
2014
fDate
27-30 Oct. 2014
Firstpage
6091
Lastpage
6095
Abstract
This paper presents a new framework for oriented texture modeling. We introduce a new class of Gaussian fields, called Locally Anisotropic Fractional Brownian Fields, with prescribed local orientation at any point. These fields are a local version of a specific class of anisotropic self-similar Gaussian fields with stationary increments. The simulation of such textures is obtained using a new algorithm mixing the tangent field formulation and a turning band method, this latter method having proved its efficiency for generating stationary anisotropic textures. Numerical experiments show the ability of the method for synthesis of textures with prescribed local orientation.
Keywords
Gaussian processes; image texture; Gaussian fields; locally anisotropic fractional Brownian fields; oriented texture modeling; prescribed local orientation; stationary increments; tangent field formulation; texture modeling; turning band method; Biological system modeling; Fractals; Indexes; Mathematical model; Numerical models; Turning; Vectors; Prescribed orientation; anisotropic self-similar Gaussian fields; oriented textures; turning bands;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location
Paris
Type
conf
DOI
10.1109/ICIP.2014.7026229
Filename
7026229
Link To Document