Multiscale estimation of vector field anisotropy. Application to texture characterization.

Abstract : This paper deals with the characterization of the anisotropy of textured images. It is well known that either the dominant direction or the texture anisotropy strongly depends on the scale used for the observation. In this paper we propose a new operator for the estimation of the dominant direction, the Directional Mean Vector (DMV), which can be computed at any observation scale. Then, we present a new indicator for the estimation of the DMV field anisotropy. This indicator, called Iso, is computed at a given observation scale. Iso is based on the computation of the DMV field local differences. It is shown that the evolution of Iso versus the observation scale gives a curve which simultaneously characterizes the anisotropy of the texture and the size of the textural patterns. In order to establish this property, we build a specific texture model which allows to assess an analytical expression for Iso. Finally, Iso is applied to the characterization of various images including synthetic textures, Brodatz textures and composite material images.
Complete list of metadatas

Cited literature [33 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00160721
Contributor : Christian Germain <>
Submitted on : Saturday, July 7, 2007 - 9:55:18 AM
Last modification on : Monday, November 26, 2018 - 1:30:05 PM
Long-term archiving on : Thursday, April 8, 2010 - 10:39:24 PM

File

SIGPRO2242HAL.pdf
Files produced by the author(s)

Identifiers

Citation

Christian Germain, Jean-Pierre da Costa, Olivier Lavialle, Pierre Baylou. Multiscale estimation of vector field anisotropy. Application to texture characterization.. Signal Processing, Elsevier, 2003, 83, pp.1487-1503. ⟨10.1016/S0165-1684(03)00064-1⟩. ⟨hal-00160721⟩

Share

Metrics

Record views

339

Files downloads

256