Multiscale characterisation of texture anisotropy

Author

Germain, C. ; Baylou, P.

Author_Institution

ENITA de Bordeaux, Gradignan, France

Volume

3

fYear

1997

fDate

26-29 Oct 1997

Firstpage

193

Abstract

The estimation of the textural features of an object is a classical problem for image processing. When directional textures occur, texture anisotropy is one of the most relevant textural features that can be extracted in order to identify the physical properties of the studied object. Nevertheless, we show that this property is strongly linked with the scale of observation of the texture. For this purpose, in this paper, we introduce a method for the estimation of texture orientation at a given scale and the corresponding anisotropy feature. Some results are given, based both on natural and synthetic pictures

Keywords

feature extraction; image texture; directional textures; feature extraction; image processing; multiscale characterisation; natural pictures; synthetic pictures; textural features; texture anisotropy; texture orientation estimation; Anisotropic magnetoresistance; Composite materials; Fingers; Histograms; Image processing; Parameter estimation; Principal component analysis; Size measurement; Statistical analysis; Statistical distributions;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1997. Proceedings., International Conference on

Conference_Location

Santa Barbara, CA

Print_ISBN

0-8186-8183-7

Type

conf

DOI

10.1109/ICIP.1997.632051

Filename

632051