DocumentCode :
317629
Title :
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
Link To Document :
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