Images observed in nature or produced by instruments including biological microscopes, medical imaging systems, spatial telescopes or industrial devices often show textural aspects.
Isotropy/anisotropy is an important indicator for textural characterization and can give essential information for image treatment (segmentation or classification).
Marseille Institute of Mathematics offers a method that allows the automatic computation of anisotropic texture features and describes the local fluctuations of the texture regularity within digital images.
Original statistical tests allow to determine whether a texture is anisotropic or not. The programmable automatic calculator for the estimation of local Hurst index uses a new technique based on quadratic variations.
Anisotropic Brownian field texture with Hurst function ranging
Demonstrated for breast cancer risk evaluation with mammograms
Software beta version available for demonstration